René's URL Explorer Experiment


Title: GitHub - hipforth/Recent_SLAM_Research: Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】

Open Graph Title: GitHub - hipforth/Recent_SLAM_Research: Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】

X Title: GitHub - hipforth/Recent_SLAM_Research: Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】

Description: Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】. Contribute to hipforth/Recent_SLAM_Research development by creating an account on GitHub.

Open Graph Description: Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】. Contribute to hipforth/Recent_SLAM_Research development by creating an account on GitHub.

X Description: Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】. Contribute to hipforth/Recent_SLAM_Research development by creating an account on GitHub.

Mail addresses
easonjianghk@gmail.com

Opengraph URL: https://github.com/hipforth/Recent_SLAM_Research

X: @github

direct link

Domain: patch-diff.githubusercontent.com

route-pattern/:user_id/:repository
route-controllerfiles
route-actiondisambiguate
fetch-noncev2:f6609a69-612c-469b-b49f-15c694f6b1fe
current-catalog-service-hashf3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-idE54E:1D40:8998A:AA021:697DED3B
html-safe-nonce51bfadf1c156eac2ef36520334238804d2fbf2245112c0e3d31e0ca26ffb4dd4
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJFNTRFOjFENDA6ODk5OEE6QUEwMjE6Njk3REVEM0IiLCJ2aXNpdG9yX2lkIjoiNTk4NzMzMDczMzMzOTcwMDUzOSIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9
visitor-hmaccfdfcf67e3eda964f6f3b955382a9204f511fdb49890187883e10720675061b1
hovercard-subject-tagrepository:208014887
github-keyboard-shortcutsrepository,copilot
google-site-verificationApib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-urlhttps://collector.github.com/github/collect
analytics-location//
fb:app_id1401488693436528
apple-itunes-appapp-id=1477376905, app-argument=https://github.com/hipforth/Recent_SLAM_Research
twitter:imagehttps://opengraph.githubassets.com/5fcc10220c00481c387b642e962e8d3d1ecc5abea9db6aee3d3b500009c3bbab/hipforth/Recent_SLAM_Research
twitter:cardsummary_large_image
og:imagehttps://opengraph.githubassets.com/5fcc10220c00481c387b642e962e8d3d1ecc5abea9db6aee3d3b500009c3bbab/hipforth/Recent_SLAM_Research
og:image:altTrack Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】. Contribute to hipforth/Recent_SLAM_Research development by creating an account on GitHub.
og:image:width1200
og:image:height600
og:site_nameGitHub
og:typeobject
hostnamegithub.com
expected-hostnamegithub.com
None60279d4097367e16897439d16d6bbe4180663db828c666eeed2656988ffe59f6
turbo-cache-controlno-preview
go-importgithub.com/hipforth/Recent_SLAM_Research git https://github.com/hipforth/Recent_SLAM_Research.git
octolytics-dimension-user_id39158521
octolytics-dimension-user_loginhipforth
octolytics-dimension-repository_id208014887
octolytics-dimension-repository_nwohipforth/Recent_SLAM_Research
octolytics-dimension-repository_publictrue
octolytics-dimension-repository_is_forktrue
octolytics-dimension-repository_parent_id148293790
octolytics-dimension-repository_parent_nwoYiChenCityU/Recent_SLAM_Research
octolytics-dimension-repository_network_root_id148293790
octolytics-dimension-repository_network_root_nwoYiChenCityU/Recent_SLAM_Research
turbo-body-classeslogged-out env-production page-responsive
disable-turbofalse
browser-stats-urlhttps://api.github.com/_private/browser/stats
browser-errors-urlhttps://api.github.com/_private/browser/errors
release7c85641c598ad130c74f7bcc27f58575cac69551
ui-targetfull
theme-color#1e2327
color-schemelight dark

Links:

Skip to contenthttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#start-of-content
https://patch-diff.githubusercontent.com/
Sign in https://patch-diff.githubusercontent.com/login?return_to=https%3A%2F%2Fgithub.com%2Fhipforth%2FRecent_SLAM_Research
GitHub CopilotWrite better code with AIhttps://github.com/features/copilot
GitHub SparkBuild and deploy intelligent appshttps://github.com/features/spark
GitHub ModelsManage and compare promptshttps://github.com/features/models
MCP RegistryNewIntegrate external toolshttps://github.com/mcp
ActionsAutomate any workflowhttps://github.com/features/actions
CodespacesInstant dev environmentshttps://github.com/features/codespaces
IssuesPlan and track workhttps://github.com/features/issues
Code ReviewManage code changeshttps://github.com/features/code-review
GitHub Advanced SecurityFind and fix vulnerabilitieshttps://github.com/security/advanced-security
Code securitySecure your code as you buildhttps://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they starthttps://github.com/security/advanced-security/secret-protection
Why GitHubhttps://github.com/why-github
Documentationhttps://docs.github.com
Bloghttps://github.blog
Changeloghttps://github.blog/changelog
Marketplacehttps://github.com/marketplace
View all featureshttps://github.com/features
Enterpriseshttps://github.com/enterprise
Small and medium teamshttps://github.com/team
Startupshttps://github.com/enterprise/startups
Nonprofitshttps://github.com/solutions/industry/nonprofits
App Modernizationhttps://github.com/solutions/use-case/app-modernization
DevSecOpshttps://github.com/solutions/use-case/devsecops
DevOpshttps://github.com/solutions/use-case/devops
CI/CDhttps://github.com/solutions/use-case/ci-cd
View all use caseshttps://github.com/solutions/use-case
Healthcarehttps://github.com/solutions/industry/healthcare
Financial serviceshttps://github.com/solutions/industry/financial-services
Manufacturinghttps://github.com/solutions/industry/manufacturing
Governmenthttps://github.com/solutions/industry/government
View all industrieshttps://github.com/solutions/industry
View all solutionshttps://github.com/solutions
AIhttps://github.com/resources/articles?topic=ai
Software Developmenthttps://github.com/resources/articles?topic=software-development
DevOpshttps://github.com/resources/articles?topic=devops
Securityhttps://github.com/resources/articles?topic=security
View all topicshttps://github.com/resources/articles
Customer storieshttps://github.com/customer-stories
Events & webinarshttps://github.com/resources/events
Ebooks & reportshttps://github.com/resources/whitepapers
Business insightshttps://github.com/solutions/executive-insights
GitHub Skillshttps://skills.github.com
Documentationhttps://docs.github.com
Customer supporthttps://support.github.com
Community forumhttps://github.com/orgs/community/discussions
Trust centerhttps://github.com/trust-center
Partnershttps://github.com/partners
GitHub SponsorsFund open source developershttps://github.com/sponsors
Security Labhttps://securitylab.github.com
Maintainer Communityhttps://maintainers.github.com
Acceleratorhttps://github.com/accelerator
Archive Programhttps://archiveprogram.github.com
Topicshttps://github.com/topics
Trendinghttps://github.com/trending
Collectionshttps://github.com/collections
Enterprise platformAI-powered developer platformhttps://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security featureshttps://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI featureshttps://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 supporthttps://github.com/premium-support
Pricinghttps://github.com/pricing
Search syntax tipshttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentationhttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in https://patch-diff.githubusercontent.com/login?return_to=https%3A%2F%2Fgithub.com%2Fhipforth%2FRecent_SLAM_Research
Sign up https://patch-diff.githubusercontent.com/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E&source=header-repo&source_repo=hipforth%2FRecent_SLAM_Research
Reloadhttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research
Reloadhttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research
Reloadhttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research
hipforth https://patch-diff.githubusercontent.com/hipforth
Recent_SLAM_Researchhttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research
YiChenCityU/Recent_SLAM_Researchhttps://patch-diff.githubusercontent.com/YiChenCityU/Recent_SLAM_Research
Notifications https://patch-diff.githubusercontent.com/login?return_to=%2Fhipforth%2FRecent_SLAM_Research
Fork 0 https://patch-diff.githubusercontent.com/login?return_to=%2Fhipforth%2FRecent_SLAM_Research
Star 0 https://patch-diff.githubusercontent.com/login?return_to=%2Fhipforth%2FRecent_SLAM_Research
0 stars https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/stargazers
726 forks https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/forks
Branches https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/branches
Tags https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/tags
Activity https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/activity
Star https://patch-diff.githubusercontent.com/login?return_to=%2Fhipforth%2FRecent_SLAM_Research
Notifications https://patch-diff.githubusercontent.com/login?return_to=%2Fhipforth%2FRecent_SLAM_Research
Code https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research
Pull requests 0 https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/pulls
Actions https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/actions
Projects 0 https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/projects
Security 0 https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/security
Insights https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/pulse
Code https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research
Pull requests https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/pulls
Actions https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/actions
Projects https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/projects
Security https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/security
Insights https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/pulse
Brancheshttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/branches
Tagshttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/tags
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/branches
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/tags
153 Commitshttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/commits/master/
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/commits/master/
README.mdhttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/blob/master/README.md
README.mdhttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/blob/master/README.md
README_2018.mdhttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/blob/master/README_2018.md
README_2018.mdhttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/blob/master/README_2018.md
SLAM能力图.pnghttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/blob/master/SLAM%E8%83%BD%E5%8A%9B%E5%9B%BE.png
SLAM能力图.pnghttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/blob/master/SLAM%E8%83%BD%E5%8A%9B%E5%9B%BE.png
READMEhttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#recent_slam_research
2018版https://github.com/YiChenCityU/Recent_SLAM_Research/blob/master/README_2018.md
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#招聘
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#slam-能力图
https://github.com/YiChenCityU/Recent_SLAM_Research/blob/master/SLAM%E8%83%BD%E5%8A%9B%E5%9B%BE.png
下载链接https://drive.google.com/open?id=1e-5pBpfkXBvMeeYzVjC4sv_LhCgN3RB8
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#-------------icra-2019-重磅来袭-吐血整理关于slam部分-下载链接----------
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0031aided-inertial-navigation---unified-feature-representations-and-observability-analysis
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0036learning-wheel-odometry-and-imu-errors-for-localization
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0041mh-isam2---multi-hypothesis-isam-using-bayes-tree-and-hypo-tree
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0060deep-reinforcement-learning-of-navigation-in-a-complex-and-crowded-environment-with-a-limited-field-of-view
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0078living-with-a-mobile-companion-robot-in-your-own-apartment---final-implementation-and-results-of-a-20-weeks-field-study
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0095visual-slam---why-bundle-adjust
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0118project-autovision---localization-and-3d-scene-perception-for-an-autonomous-vehicle-with-a-multi-camera-system
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0120a-kalman-filter-based-algorithm-for-simultaneous-time-synchronization-and-localization-in-uwb-network
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0122pose-graph-optimization-for-unsupervised-monocular-visual-odometry
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0193learning-ad-hoc-compact-representations-from-salient-landmarks-for-visual-place-recognition-in-underwater-environments
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0212a-variational-observation-model-of-3d-object-for-probabilistic-semantic-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0215velocity-constrained-trajectory-generation-for-a-collinear-mecanum-wheeled-robot
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0239tightly-coupled-3d-lidar-inertial-odometry-and-mapping
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0251fast-stochastic-functional-path-planning-in-occupancy-maps
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0257a-linear-complexity-ekf-for-visual-inertial-navigation-with-loop-closures
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0306fmd-stereo-slam---fusing-mvg-and-direct-formulation-towards-accurate-and-fast-stereo-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0317lidar-measurement-bias-estimation-via-return-waveform-modelling-in-a-context-of-3d-mapping
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0326rorg---service-robot-software-management-with-linux-containers
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0336localization-with-sliding-window-factor-graphs-on-third-party-maps-for-automated-driving
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0353sensor-failure-resilient-multi-imu-visual-inertial-navigation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0355enabling-identity-aware-tracking-via-fusion-of-visual-and-inertial-feature
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0362a-new-approach-to-local-navigation-for-autonomous-driving-vehicles-based-on-the-curvature-velocity-method
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0371lookup---vision-only-real-time-precise-underground-localisation-for-autonomous-mining-vehicles
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0378uncertainty-estimation-for-projecting-lidar-points-onto-camera-images-for-moving-platforms
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0389efficient-integrity-monitoring-for-kf-based-localization
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0390sweepnet---wide-baseline-omnidirectional-depth-estimation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#03953d-surface-reconstruction-using-a-two-step-stereo-matching-method-assisted-with-five-projected-patterns
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0431road-detection-through-crf-based-lidar-camera-fusion
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0434real-time-model-based-path-planning-for-wheeled-vehicles
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0448improving-keypoint-matching-using-a-landmark-based-image-representation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0467adding-cues-to-binary-feature-descriptors-for-visual-place-recognition
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0508fast-and-robust-initialization-for-visual-inertial-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0522scalablefusion---high-resolution-mesh-based-real-time-3d-reconstruction
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0549high-precision-localization-using-ground-texture
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0552actively-improving-robot-navigation-on-different-terrains-using-gaussian-process-mixture-models
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0561ko-fusion---dense-visual-slam-with-tightly-coupled-kinematic-and-odometric-tracking
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0589learning-scene-geometry-for-visual-localization-in-challenging-conditions
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0595cnn-svo---improving-the-mapping-in-semi-direct-visual-odometry-using-single-image-depth-prediction
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0613learning-action-representations-for-self-supervised-visual-exploration
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0636robust-object-based-slam-for-high-speed-autonomous-navigation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0658a-scalable-framework-for-real-time-multi-robot-multi-human-collision-avoidance
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0660superdepth---self-supervised-super-resolved-monocular-depth-estimation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0666safe-and-complete-real-time-planning-and-exploration-in-unknown-environments
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0674visual-inertial-navigation---a-concise-review
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0697uncertainty-aware-occupancy-map-prediction-using-generative-networks-for-robot-navigation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0700illumination-robust-monocular-direct-visual-odometry-for-outdoor-environment-mapping
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0717gen-slam---generative-modeling-for-monocular-simultaneous-localization-and-mapping
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0782a-comparison-of-cnn-based-and-hand-crafted-keypoint-descriptors
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0783in2lama---inertial-lidar-localisation-and-mapping
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0798accurate-direct-visual-laser-odometry-with-explicit-occlusion-handling-and-plane-detection
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0860semantic-mapping-for-view-invariant-relocalization
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0862robotic-forceps-without-position-sensors-using-visual-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0867environment-driven-underwater-camera-imu-calibration-for-monocular-visual-inertial-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0897dense-3d-visual-mapping-via-semantic-simplification
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0903redundant-perception-and-state-estimation-for-reliable-autonomous-racing
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0954semantic-mapping-extension-for-openstreetmap-applied-to-indoor-robot-navigation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0968multirotor-dynamics-based-online-scale-estimation-for-monocular-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0970uwblidar-fusion-for-cooperative-range-only-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0979a-supervised-approach-to-predicting-noise-in-depth-images
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#0999dynamic-hilbert-maps---real-time-occupancy-predictions-in-changing-environments
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1008learning-monocular-visual-odometry-through-geometry-aware-curriculum-learning
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1036a-unified-framework-for-mutual-improvement-of-slam-and-semantic-segmentation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1045leveraging-structural-regularity-of-atlanta-world-for-monocular-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1072improving-the-robustness-of-visual-inertial-extended-kalman-filtering
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1073atlas-fast---fast-and-simple-scheduled-tdoa-for-reliable-ultra-wideband-localization
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1086visual-appearance-analysis-of-forest-scenes-for-monocular-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1090closed-loop-mpc-with-dense-visual-slam---stability-through-reactive-stepping
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1092pedestrian-dominance-modeling-for-socially-aware-robot-navigation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1105energy-aware-temporal-logic-motion-planning-for-mobile-robots
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1126real-time-dense-mapping-for-self-driving-vehicles-using-fisheye-cameras
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1129reslam---a-real-time-robust-edge-based-slam-system
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1143dense-surface-reconstruction-from-monocular-vision-and-lidar
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1147estimating-the-localizability-in-tunnel-like-environments-using-lidar-and-uwb
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1173depth-completion-with-deep-geometry-and-context-guidance
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1176learned-map-prediction-for-enhanced-mobile-robot-exploration
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1204deepfusion---real-time-dense-3d-reconstruction-for-monocular-slam-using-single-view-depth-and-gradient-predictions
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1211real-time-dense-depth-estimation-by-fusing-stereo-with-sparse-depth-measurements
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1247towards-fully-dense-direct-filter-based-monocular-visual-inertial-odometry
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1265adaptive-bingham-distribution-based-filter-for-se3-estimation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1267mid-fusion---octree-based-object-level-multi-instance-dynamic-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1278autonomous-exploration-reconstruction-and-surveillance-of-3d-environments-aided-by-deep-learning
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1322speeding-up-iterative-closest-point-using-stochastic-gradient-descen
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1324building-a-winning-self-driving-car-in-six-months
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1327obstacle-aware-adaptive-informative-path-planning-for-uav-based-target-search
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1340ovpc-mesh---3d-free-space-representation-for-local-ground-vehiclenavigation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1358multi-robot-informative-path-planning-with-continuous-connectivity-constraints
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1365look-no-deeper---recognizing-places-from-opposing-viewpoints-under-varying-scene-appearance-using-single-view-depth-estimation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1380ganvo---unsupervised-deep-monocular-visual-odometry-and-depth-estimation-with-generative-adversarial-networks
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1381efficient-constellation-based-map-merging-for-semantic-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1383multimodal-semantic-slam-with-probabilistic-data-associatio
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1422surfel-based-dense-rgb-d-reconstruction-with-global-and-local-consistency
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#14483d-keypoint-repeatability-for-heterogeneous-multi-robot-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1458characterizing-visual-localization-and-mapping-datasets
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1549a-slam---human-in-the-loop-augmented-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1555dynamic-channel---a-planning-framework-for-crowd-navigation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#15602d-lidar-map-prediction-via-estimating-motion-flow-with-gru
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1567efficient-2d-3d-matching-for-multi-camera-visual-localization
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1593where-should-we-place-lidars-on-the-autonomous-vehicle---an-optimal-design-approach
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1599efficient-trajectory-planning-for-high-speed-flight-in-unknown-environments
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1607visual-odometric-localization-and-mapping-for-ground-vehicles-using-se2-xyz-constraints
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1636depth-generation-network---estimating-real-world-depth-from-stereo-and-depth-images
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1688localizing-discriminative-visual-landmarks-for-place-recognition
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1697rovo---robust-omnidirectional-visual-odometry-for-wide-baseline-wide-fov-camera-systems
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1751non-parametric-error-modeling-for-ultra-wideband-localization-networks
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1760rcm-slam---visual-localisation-and-mapping-under-remote-centre-of-motion-constraints
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1784multi-camera-visual-inertial-navigation-with-online-intrinsic-and-extrinsic-calibration
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1808colo---a-performance-evaluation-system-for-multi-robot-cooperative-localization-algorithms
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1827variational-end-to-end-navigation-and-localization
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1870-slambench-30-systematic-automated-reproducible-evaluation-of-slam-systems-for-robot-vision-challenges-and-scene-understanding
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1891real-time-monocular-object-model-aware-sparse-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1937tightly-coupled-aided-inertial-navigation-with-point-and-plane-features
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1942rad-vio---rangefinder-aided-downward-visual-inertial-odometry
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1946beyond-point-clouds---fisher-information-field-for-active-visual-localization
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1954deep-local-trajectory-replanning-and-control-for-robot-navigation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1977fastdepth---fast-monocular-depth-estimation-on-embedded-systems
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2006probabilistic-projective-association-and-semantic-guided-relocalization-for-dense-reconstruction
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2009kinematic-constraints-based-bi-directional-rrt-kb-rrt-with-parameterized-trajectories-for-robot-path-planning-in-cluttered-environment
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2044mrs-vpr---a-multi-resolution-sampling-based-visual-place-recognition-method
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2045integrated-uwb-vision-approach-for-autonomous-docking-of-uavs-in-gps-denied-environments
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2111keyframe-based-direct-thermal-inertial-odometry
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2139self-supervised-sparse-to-dense---self-supervised-depth-completion-from-lidar-and-monocular-camera
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2143a-multi-domain-feature-learning-method-for-visual-place-recognition
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2162real-time-scalable-dense-surfel-mapping
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2186global-vision-based-reconstruction-of-three-dimensional-road-surfaces-using-adaptive-extended-kalman-filter
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2207an-autonomous-loop-closure-approach-for-simultaneous-exploration-and-coverage-of-unknown-infrastructure-using-mavs
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2334probabilistic-appearance-based-place-recognition-through-bag-of-tracked-words
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2335robust-pose-graph-slam-using-absolute-orientation-sensing
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2354monocular-semantic-occupancy-grid-mapping-with-convolutional-variational-encoder-decoder-networks
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2358sparse2dense---from-direct-sparse-odometry-to-dense-3d-reconstruction
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2381local-descriptor-for-robust-place-recognition-using-lidar-intensity
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2390decentralized-full-coverage-of-unknown-areas-by-multiple-robots-with-limited-visibility-sensing
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2394enhancing-v-slam-keyframe-selection-with-an-efficient-convnet-for-semantic-analysis
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2410loosely-coupled-semi-direct-monocular-slam
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2533unsupervised-learning-of-monocular-depth-and-ego-motion-using-multiple-masks
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2540on-line-3d-active-pose-graph-slam-based-on-key-poses-using-graph-topology-and-sub-maps
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2545low-latency-visual-slam-with-appearance-enhanced-local-map-building
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2552experimental-comparison-of-visual-aided-odometry-methods-for-rail-vehicles
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2554iteratively-reweighted-midpoint-method-for-fast-multiple-view-triangulation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2559unified-motion-based-calibration-of-mobile-multi-sensor-platforms-with-time-delay-estimation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2643efficient-autonomous-exploration-planning-of-large-scale-3d-environments
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2645deep-reinforcement-learning-robot-for-search-and-rescue-applications---exploration-in-unknown-cluttered-environments
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2685integrated-mapping-and-path-planning-for-very-large-scale-robotic-vlsr-systems
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2703geometric-relation-distribution-for-place-recognition
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2717communication-efficient-planning-and-mapping-for-multi-robot-exploration-in-large-environments
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2873multi-process-fusion---visual-place-recognition-using-multiple-image-processing-methods
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2877geo-supervised-visual-depth-prediction
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2886effective-visual-place-recognition-using-multi-sequence-maps
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2894probabilistic-completeness-of-rrt-for-geometric-and-kinodynamic-planning-with-forward-propagation
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2897on-the-impact-of-uncertainty-for-path-planning
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2901multi-robot-motion-planning-with-dynamics-via-coordinated-sampling-based-expansion-guided-by-multi-agent-search
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2911energy-efficient-coverage-path-planning-for-general-terrain-surfaces
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2943vunet---dynamic-scene-view-synthesis-for-traversability-estimation-using-an-rgb-camera
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2948robust-attitude-estimation-using-an-adaptive-unscented-kalman-filter
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#29851-day-learning-1-year-localization---long-term-lidar-localization-using-scan-context-image
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2992robust-global-structure-from-motion-pipeline-with-parallax-on-manifold-bundle-adjustment-and-initialization
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#3117learning-scene-geometry-for-visual-localization-in-challenging-conditions
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#3118geo-supervised-visual-depth-prediction
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#3130search-based-3d-planning-and-trajectory-optimization-for-safe-micro-aerial-vehicle-flight-under-sensor-visibility-constraints
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#-------------icra-2019-终止线-----------
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#slam
Flexible Trinocular: Non-rigid Multi-Camera-IMU Dense Reconstruction for UAV Navigation and Mappinghttps://arxiv.org/pdf/1908.08891.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#101-2019-09-05-flexible-trinocular-non-rigid-multi-camera-imu-dense-reconstruction-for-uav-navigation-and-mapping
Multi-Spectral Visual Odometry without Explicit Stereo Matchinghttps://arxiv.org/pdf/1908.08814.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#100-2019-09-05-multi-spectral-visual-odometry-without-explicit-stereo-matching红外相机与传统相机双目slam
Camera Pose Correction in SLAM Based on Bias Values of Map Pointshttps://arxiv.org/pdf/1908.09072.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#99-2019-09-05-camera-pose-correction-in-slam-based-on-bias-values-of-map-points
Large Scale 2D Laser SLAM using Truncated Signed Distance Functionshttps://www.sim.informatik.tu-darmstadt.de/publ/download/2019_daun_ssrr.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#98-2019-09-05-large-scale-2d-laser-slam-using-truncated-signed-distance-functions
EKLT: Asynchronous Photometric Feature Tracking using Events and Frameshttp://rpg.ifi.uzh.ch/docs/IJCV19_Gehrig.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#97-2019-09-05-eklt-asynchronous-photometric-feature-tracking-using-events-and-frames-event-相机与传统相机结合做追踪
ORBSLAM-Atlas: a robust and accurate multi-map systemhttps://128.84.21.199/pdf/1908.11585.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#96-2019-09-01-orbslam-atlas-a-robust-and-accurate-multi-map-system
PALVO: visual odometry based on panoramic annular lenshttps://www.osapublishing.org/DirectPDFAccess/8DD73308-D81D-1AC4-2453844914F8BA31_416727/oe-27-17-24481.pdf?da=1&id=416727&seq=0&mobile=no
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#95-2019-08-16-palvo-visual-odometry-based-on-panoramic-annular-lens全景相机slam
On Data Sharing Strategy for Decentralized Collaborative Visual-Inertial Simultaneous Localization And Mappinghttps://hal.archives-ouvertes.fr/hal-02190833/document
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#94-2019-07-31-on-data-sharing-strategy-for-decentralized-collaborative-visual-inertial-simultaneous-localization-and-mapping多机器人vio-slam
Robust Real-time RGB-D Visual Odometry in Dynamic Environments via Rigid Motion Modelhttps://arxiv.org/pdf/1907.08388.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#93-2019-07-31-robust-real-time-rgb-d-visual-odometry-in-dynamic-environments-via-rigid-motion-model-scene-flow去除动态物体
Accurate Initialization Method for Monocular Visual-Inertial SLAMhttps://ieeexplore.ieee.org/abstract/document/8757790/authors#authors
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#92-2019-07-26-accurate-initialization-method-for-monocular-visual-inertial-slam
Stereo Visual SLAM Based on Unscented Dual Quaternion Filteringhttps://www.researchgate.net/profile/Kailai_Li/publication/334318103_Stereo_Visual_SLAM_Based_on_Unscented_Dual_Quaternion_Filtering/links/5d2449e5299bf1547ca4ffbf/Stereo-Visual-SLAM-Based-on-Unscented-Dual-Quaternion-Filtering.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#91-2019-07-26-stereo-visual-slam-based-on-unscented-dual-quaternion-filtering
An Open-Source Benchmark for Scale-Aware Visual Odometry Algorithmshttps://www.e-sciencecentral.org/articles/SC000034658
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#90-2019-07-26-an-open-source-benchmark-for-scale-aware-visual-odometry-algorithms开源的评测系统
Monocular Visual Odometry Initialization with Points and Line Segmentshttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8728034
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#89-2019-06-28-monocular-visual-odometry-initialization-with-points-and-line-segments
DS-VIO: Robust and Efficient Stereo Visual Inertial Odometry based on Dual Stage EKFhttps://arxiv.org/pdf/1905.00684.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#88-2019-06-28-ds-vio-robust-and-efficient-stereo-visual-inertial-odometry-based-on-dual-stage-ekf
Edge-Direct Visual Odometryhttps://arxiv.org/pdf/1906.04838.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#87-2019-06-19-edge-direct-visual-odometrycmu-边缘直接法vo
An Automatic Key-Frame Selection Method for Monocular Visual Odometry of Ground Vehiclehttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8715357
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#86-2019-06-13-an-automatic-key-frame-selection-method-for-monocular-visual-odometry-of-ground-vehicle
ARM-VO: an efficient monocular visual odometry for ground vehicles on ARM CPUshttps://link.springer.com/article/10.1007/s00138-019-01037-5
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#85-2019-06-13-arm-vo-an-efficient-monocular-visual-odometry-for-ground-vehicles-on-arm-cpus-arm优化版本vo
Large-Scale Outdoor SLAM Based on 2D Lidarhttps://www.researchgate.net/publication/333521486_Large-Scale_Outdoor_SLAM_Based_on_2D_Lidar
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#84-2019-06-13-large-scale-outdoor-slam-based-on-2d-lidar
Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescuehttps://arxiv.org/pdf/1906.01304.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#83-2019-06-13-vision-based-autonomous-uav-navigation-and-landing-for-urban-search-and-rescue
Partial Computing Offloading Assisted Cloud Point Registration in Multi-robot SLAMhttps://arxiv.org/pdf/1905.12973.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#82-2019-06-13-partial-computing-offloading-assisted-cloud-point-registration-in-multi-robot-slam降低多机slam计算量
Stereo Visual Odometry Based on Motion Decoupling and Special Feature Screening for Navigation of Autonomous Vehicleshttp://sci-hub.tw/https://ieeexplore.ieee.org/document/8718624
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#81-2019-06-13-stereo-visual-odometry-based-on-motion-decoupling-and-special-feature-screening-for-navigation-of-autonomous-vehicles远点近点分开利用
Extending Monocular Visual Odometry to Stereo Camera System by Scale Optimizationhttps://arxiv.org/pdf/1905.12723.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#80-2019-06-13-extending-monocular-visual-odometry-to-stereo-camera-system-by-scale-optimization-计算量小的伪双目
Extrinsic calibration of a single-point laser rangefinder and single camerahttps://link.springer.com/article/10.1007/s11082-019-1907-8
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#79-2019-06-10-extrinsic-calibration-of-a-single-point-laser-rangefinder-and-single-camera-连同78都是2d激光传感器与视觉传感器外参标定
A Simple Calibration Procedure for A 2D LiDAR with Respect to A Camerahttps://ieeexplore.ieee.org/abstract/document/8710299
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#78-2019-06-10-a-simple-calibration-procedure-for-a-2d-lidar-with-respect-to-a-camera
HeteroFusion: Dense Scene Reconstruction Integrating Multi-sensorshttps://orca.cf.ac.uk/122866/1/HeteroFusion-Final.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#77-2019-06-10-heterofusion-dense-scene-reconstruction-integrating-multi-sensors-融合多种传感器的三维重建
A Simultaneous Localization and Mapping (SLAM) Framework for 2.5D Map Building Based on Low-Cost LiDAR and Vision Fusionhttps://www.researchgate.net/publication/333315015_A_Simultaneous_Localization_and_Mapping_SLAM_Framework_for_25D_Map_Building_Based_on_Low-Cost_LiDAR_and_Vision_Fusion
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#76-2019-06-05-a-simultaneous-localization-and-mapping-slam-framework-for-25d-map-building-based-on-low-cost-lidar-and-vision-fusion-激光与视觉融合slam
eSLAM: An Energy-Efficient Accelerator for Real-Time ORB-SLAM on FPGA Platformhttp://sci-hub.tw/10.1145/3316781.3317820
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#75-2019-06-05-eslam-an-energy-efficient-accelerator-for-real-time-orb-slam-on-fpga-platform
Robust simultaneous localization and mapping in low-light environmenthttps://onlinelibrary.wiley.com/doi/abs/10.1002/cav.1895
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#74-2019-05-28-robust-simultaneous-localization-and-mapping-in-low-light-environment-提取两种特征点解决光照问题
An Extensive Approach to Features Detection and Description for 2D Range Data using Active B-splineshttps://ieeexplore.ieee.org/abstract/document/8716503
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#73-2019-05-28-an-extensive-approach-to-features-detection-and-description-for-2d-range-data-using-active-b-splines
Low-latency Visual SLAM with Appearance-Enhanced Local Map Buildinghttps://arxiv.org/pdf/1905.07797.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#72-2019-05-28-low-latency-visual-slam-with-appearance-enhanced-local-map-building
Characterizing SLAM Benchmarks and Methods for the Robust Perception Agehttps://arxiv.org/pdf/1905.07808.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#71-2019-05-28-characterizing-slam-benchmarks-and-methods-for-the-robust-perception-age
RGBD-Inertial Trajectory Estimation and Mapping for Ground Robotshttps://www.researchgate.net/publication/333125503_RGBD-Inertial_Trajectory_Estimation_and_Mapping_for_Ground_Robots
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#70-2019-05-24-rgbd-inertial-trajectory-estimation-and-mapping-for-ground-robotsrgbdimu基于vins_mono
A Novel Approach for Lidar-Based Robot Localization in a Scale-Drifted Map Constructed Using Monocular SLAMhttps://www.mdpi.com/1424-8220/19/10/2230
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#69-2019-05-24-a-novel-approach-for-lidar-based-robot-localization-in-a-scale-drifted-map-constructed-using-monocular-slam-基于单目产生的有尺度漂移的地图用激光定位感觉没多大用
Visual Inertial Odometry At the Edge: A Hardware-Software Co-design Approach for Ultra-low Latency and Powerhttps://ieeexplore.ieee.org/abstract/document/8714921
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#68-2019-05-24-visual-inertial-odometry-at-the-edge-a-hardware-software-co-design-approach-for-ultra-low-latency-and-power-低功耗-vins
Explorations and Lessons Learned in Building an Autonomous FormulaSAEa Car from Simulationshttps://arxiv.org/pdf/1905.05940.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#67-2019-05-24-explorations-and-lessons-learned-in-building-an-autonomous-formulasaea-car-from-simulations学生方程式赛车学习
Low-cost IMU Data Denoising using Savitzky-Golay Filtershttps://ieeexplore.ieee.org/abstract/document/8713728
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#66-2019-05-24-low-cost-imu-data-denoising-using-savitzky-golay-filtersimu数据降噪
AMZ Driverless: The Full Autonomous Racing Systemhttps://arxiv.org/pdf/1905.05150.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#65-2019-05-20-amz-driverless-the-full-autonomous-racing-system-eth赛车
ROS-based localization of a race vehicle at high-speed using LIDARhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2019/21/e3sconf_icpeme2018_04002.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#64-2019-05-20-ros-based-localization-of-a-race-vehicle-at-high-speed-using-lidartum赛车
An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVshttps://arxiv.org/pdf/1905.04166.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#63-2019-05-20-an-open-source-and-open-hardware-deep-learning-powered-visual-navigation-engine-for-autonomous-nano-uavseth最小无人机自动导航
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registrationhttps://arxiv.org/pdf/1905.04153.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#62-2019-05-20-deepicp-an-end-to-end-deep-neural-network-for-3d-point-cloud-registration百度无人车团队deepicp
3D Keypoint Repeatability for Heterogeneous Multi-Robot SLAMhttp://act.usc.edu/publications/Boroson_ICRA2019.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#61-2019-05-20-3d-keypoint-repeatability-for-heterogeneous-multi-robot-slam南加州大学基于3d点云的特征点
Monocular Semidirect Visual Odometry for Large-scale Outdoor Localizationhttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8703146
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#60-2019-05-14-monocular-semidirect-visual-odometry-for-large-scale-outdoor-localization
CREAK descriptor evaluation for visual odometryhttp://sci-hub.tw/https://ieeexplore.ieee.org/document/8704807
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#59-2019-05-14-creak-descriptor-evaluation-for-visual-odometry-creak-描述子测试
Humanoid Robot Dense RGB-D SLAM for Embedded Devices*https://www.researchgate.net/profile/Stylianos_Piperakis3/publication/332686387_Humanoid_Robot_Dense_RGB-D_SLAM_for_Embedded_Devices/links/5cc341654585156cd7b4518e/Humanoid-Robot-Dense-RGB-D-SLAM-for-Embedded-Devices.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#58-2019-05-05-humanoid-robot-dense-rgb-d-slam-for-embedded-devices-使用rgbdimuencoder做nao机器人状态估计
Structure Aware SLAM using Quadrics and Planeshttps://www.researchgate.net/profile/Yasir_Latif/publication/324745171_Towards_Semantic_SLAM_Points_Planes_and_Objects/links/5caaa871a6fdcca26d065630/Towards-Semantic-SLAM-Points-Planes-and-Objects.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#57-2019-04-29-structure-aware-slam-using-quadrics-and-planes
VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Pointshttps://arxiv.org/pdf/1904.10324.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#56-2019-04-29-vitamin-e-visual-tracking-and-mapping-with-extremely-dense-feature-points-很鲁棒的单目三维重建
Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?https://arxiv.org/pdf/1904.07967.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#55-2019-04-26-are-state-of-the-art-visual-place-recognition-techniques-any-good-for-aerial-robotics-关于回环检测的综述
An Improved Hector SLAM Algorithm based on Information Fusion for Mobile Robothttps://ieeexplore.ieee.org/abstract/document/8691198
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#54-2019-04-23-an-improved-hector-slam-algorithm-based-on-information-fusion-for-mobile-robot
Robust RGB-D Visual Odometry Based on the Line Intersection Structure Feature in Low-Textured Sceneshttps://ieeexplore.ieee.org/abstract/document/8691213
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#53-2019-04-23-robust-rgb-d-visual-odometry-based-on-the-line-intersection-structure-feature-in-low-textured-scenes
Object Recognition and Simultaneous Indoor Localization Algorithm with Stereo Camerahttps://ieeexplore.ieee.org/abstract/document/8691211
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#52-2019-04-23-object-recognition-and-simultaneous-indoor-localization-algorithm-with-stereo-camera
Learning Whole-Image Descriptors for Real-time Loop Detection and Kidnap Recovery under Large Viewpoint Differencehttps://arxiv.org/pdf/1904.06962.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#51-2019-04-23-learning-whole-image-descriptors-for-real-time-loop-detection-and-kidnap-recovery-under-large-viewpoint-difference-港科大弱监督netvlad下的重定位恢复
Visual-Inertial Mapping with Non-Linear Factor Recoveryhttps://arxiv.org/pdf/1904.06504.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#50-2019-04-23-visual-inertial-mapping-with-non-linear-factor-recovery
Direct Sparse Mappinghttps://arxiv.org/pdf/1904.06577.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#49-2019-04-23-direct-sparse-mapping-带有回环检测的稀疏直接法
Gyroscope-aided Relative Pose Estimation for Rolling Shutter Camerashttps://arxiv.org/pdf/1904.06770.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#48-2019-04-23-gyroscope-aided-relative-pose-estimation-for-rolling-shutter-cameras-使用imu解决卷帘快门图像问题
Adaptive SLAM with synthetic stereo dataset generation for real-time dense 3D reconstructionhttps://hal.archives-ouvertes.fr/hal-02086843/document
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#47-2019-04-17-adaptive-slam-with-synthetic-stereo-dataset-generation-for-real-time-dense-3d-reconstruction提出在直线行走时降低图像帧率节省计算资源以及减少误差
Robust Legged Robot State Estimation Using Factor Graph Optimizationhttps://arxiv.org/pdf/1904.03048.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#46-2019-04-17-robust-legged-robot-state-estimation-using-factor-graph-optimization-anymal-四足机器人定位算法
Stereo camera visual odometry for moving urban environmentshttps://content.iospress.com/articles/integrated-computer-aided-engineering/ica190598
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#45-2019-04-11-stereo-camera-visual-odometry-for-moving-urban-environments
Online IMU Self-Calibration for Visual-Inertial Systemshttps://www.mdpi.com/1424-8220/19/7/1624
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#44-2019-04-11-online-imu-self-calibration-for-visual-inertial-systems
KO-Fusion: Dense Visual SLAM with Tightly-Coupled Kinematic and Odometric Trackinghttps://www.imperial.ac.uk/media/imperial-college/research-centres-and-groups/dyson-robotics-lab/chouseago_etal_icra2019.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#43-2019-04-02-ko-fusion-dense-visual-slam-with-tightly-coupled-kinematic-and-odometric-trackingdyson-和-imprial-college-研发的rgbd融合底盘dense-slam
SlamCraft: Dense Planar RGB Monocular SLAMhttps://www.researchgate.net/publication/331832804_SlamCraft_Dense_Planar_RGB_Monocular_SLAM
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#42-2019-04-02-slamcraft-dense-planar-rgb-monocular-slam
Learning 3D Semantic Reconstruction on Octreeshttps://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/332863/1/Wang_Xiaojuan.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#41-2019-03-29-learning-3d-semantic-reconstruction-on-octreeseth-wang-xiaojuan三维语义重建硕士论文
An Efficient Schmidt-EKF for 3D Visual-Inertial SLAMhttps://arxiv.org/pdf/1903.08636.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#40-2019-03-29-an-efficient-schmidt-ekf-for-3d-visual-inertial-slam
Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditionshttps://arxiv.org/pdf/1903.09107.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#39-2019-03-29-levelling-the-playing-field-a-comprehensive-comparison-of-visual-place-recognition-approaches-under-changing-conditions关于回环检测的综述
Wheelchair robot navigation in different weather conditions using deep learning and evolved neural controllerhttps://www.emeraldinsight.com/doi/abs/10.1108/IR-08-2018-0176
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#38-2019-03-29-wheelchair-robot-navigation-in-different-weather-conditions-using-deep-learning-and-evolved-neural-controller
Pragma-Oriented Parallelization of the Direct Sparse Odometry SLAM Algorithmhttps://ieeexplore.ieee.org/abstract/document/8671561
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#37-2019-03-29-pragma-oriented-parallelization-of-the-direct-sparse-odometry-slam-algorithm
FMD Stereo SLAM: Fusing MVG and Direct Formulation Towards Accurate and Fast Stereo SLAMhttps://www.researchgate.net/publication/281217090_Stereo_Parallel_Tracking_and_Mapping_for_robot_localization
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#36-2019-03-25-fmd-stereo-slam-fusing-mvg-and-direct-formulation-towards-accurate-and-fast-stereo-slam
Spatiotemporal Decoupling Based LiDARCamera Calibration under Arbitrary Configurationshttps://arxiv.org/pdf/1903.06141.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#35-2019-03-21-spatiotemporal-decoupling-based-lidarcamera-calibration-under-arbitrary-configurations
An Accurate Localization Scheme for Mobile Robots Using Optical Flow in Dynamic Environmentshttps://sci-hub.tw/https://ieeexplore.ieee.org/abstract/document/8664893/
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#34-2019-03-21-an-accurate-localization-scheme-for-mobile-robots-using-optical-flow-in-dynamic-environments
2-Entity RANSAC for robust visual localization in changing environmenthttps://arxiv.org/pdf/1903.03967.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#33-2019-03-16-2-entity-ransac-for-robust-visual-localization-in-changing-environment
A Unified Formulation for Visual Odometryhttps://arxiv.org/pdf/1903.04253.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#32-2019-03-16-a-unified-formulation-for-visual-odometry-综合直接法和间接法
Nonparametric Statistical and Clustering Based RGB-D Dense Visual Odometry in a Dynamic Environmenthttps://sci-hub.tw/https://link.springer.com/article/10.1007/s13319-019-0220-4
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#31-2019-03-13-nonparametric-statistical-and-clustering-based-rgb-d-dense-visual-odometry-in-a-dynamic-environment多帧残差模型处理动态物体
3D Reconstruction and Texture Optimization Using a Sparse Set of RGB-D Camerashttps://sci-hub.tw/https://ieeexplore.ieee.org/abstract/document/8658571/
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#30-2019-03-13-3d-reconstruction-and-texture-optimization-using-a-sparse-set-of-rgb-d-cameras
EGO-SLAM: A Robust Monocular SLAM for Egocentric Videoshttps://www.cse.iitd.ac.in/~chetan/papers/wacv19-egoslam.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#29-2019-03-13-ego-slam-a-robust-monocular-slam-for-egocentric-videos
Real-Time Visual Odometry Covariance Estimation or Unmanned Air Vehicle Navigationhttps://arc.aiaa.org/doi/pdfplus/10.2514/1.G004000
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#28-2019-03-11-real-time-visual-odometry-covariance-estimation-or-unmanned-air-vehicle-navigation
Ground Plane based Absolute Scale Estimation for Monocular Visual Odometryhttps://arxiv.org/pdf/1903.00912.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#27-2019-03-11-ground-plane-based-absolute-scale-estimation-for-monocular-visual-odometry单目估计尺度
Incremental Visual-Inertial 3D Mesh Generation with Structural Regularitieshttps://www.mit.edu/~arosinol/research/struct3dmesh.html
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#26-2019-03-11-incremental-visual-inertial-3d-mesh-generation-with-structural-regularities出自mit在vio中根据三角剖分加入结构化特征
ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera Systemshttps://arxiv.org/pdf/1902.11154.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#25-2019-03-08-rovo-robust-omnidirectional-visual-odometry-for-wide-baseline-wide-fov-camera-systems多目鱼眼slam
Robust RGB-D Odometry under Depth Uncertainty for Structured Environmentshttps://search.proquest.com/openview/d9b6a8efb6fd8075cfe7aeed663085c7/1?pq-origsite=gscholar&cbl=2026366&diss=y
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#24-2019-03-08-robust-rgb-d-odometry-under-depth-uncertainty-for-structured-environments-博士论文处理rgbd深度误差
Stereo Visual Inertial LiDAR Simultaneous Localization and Mappinghttps://arxiv.org/pdf/1902.10741.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#23-2019-03-08-stereo-visual-inertial-lidar-simultaneous-localization-and-mapping激光在山洞容易失效双目可以增强某些场景
Double-Layer Cubature Kalman Filter for Nonlinear Estimationhttps://sci-hub.tw/https://www.mdpi.com/1424-8220/19/5/986
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#22-2019-03-08-double-layer-cubature-kalman-filter-for-nonlinear-estimation
A Vertex-to-Edge Weighted Closed-Form Method for Dense RGB-D Indoor SLAM https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8649628
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#21-2019-03-08-a-vertex-to-edge-weighted-closed-form-method-for-dense-rgb-d-indoor-slam-
Vision Sensor Aided Navigation for Ground Vehicle Applicationshttps://sci-hub.tw/https://prism.ucalgary.ca/handle/1880/109478
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#20-2019-02-28-vision-sensor-aided-navigation-for-ground-vehicle-applications-liu-zhenbo-博士毕业论文讲的很仔细
GSLAM: A General SLAM Framework and Benchmarkhttps://arxiv.org/pdf/1902.07995.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#19-2019-02-28-gslam-a-general-slam-framework-and-benchmark-兼容多种框架的框架
A lightweight and scalable visual‑inertial motion capture system using fducial markershttps://sci-hub.tw/10.1007/s10514-019-09834-7
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#18-2019-02-26-a-lightweight-and-scalable-visualinertial-motion-capture-system-using-fducial-markers二维码加imu
Robust 3D Indoor Map Building via RGB-D SLAM with Adaptive IMU Fusion on Robothttps://www.mdpi.com/1424-8220/16/10/1589/pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#17-2019-02-21-robust-3d-indoor-map-building-via-rgb-d-slam-with-adaptive-imu-fusion-on-robot-简单直接的融合方式
UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markershttps://arxiv.org/pdf/1902.03729.pdf
代码https://sourceforge.net/projects/ucoslam/
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#16-2019-02-18-ucoslam-simultaneous-localization-and-mapping-by-fusion-of-keypoints-and-squared-planar-markers融合视觉与二维码标签slam代码
Visual SLAM: Why Bundle Adjust?https://arxiv.org/pdf/1902.03747.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#15-2019-02-14-visual-slam-why-bundle-adjustian-reid的改进版ba
A real-time visual-inertial mapping and localization method by fusing unstable GPShttps://ieeexplore.ieee.org/abstract/document/8630513
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#14-2019-02-14-a-real-time-visual-inertial-mapping-and-localization-method-by-fusing-unstable-gps-根据gps信号可信度调整优化方法
Comparison and Analysis of Feature Method and Direct Method in Visual SLAM Technology for Social Robotshttps://ieeexplore.ieee.org/abstract/document/8630714
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#13-2019-02-14-comparison-and-analysis-of-feature-method-and-direct-method-in-visual-slam-technology-for-social-robots对比直接法与特征点法
Multi-objective Mapping and Path Planning using Visual SLAM and Object Detectionhttps://uwspace.uwaterloo.ca/bitstream/handle/10012/14386/Woo_Ami.pdf?sequence=3&isAllowed=y
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#12-2019-01-30-multi-objective-mapping-and-path-planning-using-visual-slam-and-object-detection-一篇硕士论文
Extrinsic Calibration of Lidar and Camera with Polygonhttps://ram-lab.com/papers/2018/liao_robio2018.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#11-2019-01-30-extrinsic-calibration-of-lidar-and-camera-with-polygon-利用已知多边形板子获得激光与视觉传感器外参出自港科大刘明老师
Robust Photogeometric Localization over Time for Map-Centric Loop Closurehttps://arxiv.org/pdf/1901.07660.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#10-2019-01-30-robust-photogeometric-localization-over-time-for-map-centric-loop-closure解决map-centric-slam回环问题
A Novel Method for Extrinsic Calibration of Multiple RGB-D Cameras Using Descriptor-Based Patternshttps://www.mdpi.com/1424-8220/19/2/349/htm
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#9-2019-01-25-a-novel-method-for-extrinsic-calibration-of-multiple-rgb-d-cameras-using-descriptor-based-patterns-多个rgbd相机外参标定
SLAM of Robot based on the Fusion of Vision and LIDARhttps://sci-hub.tw/10.1109/cbs.2018.8612212
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#8-2019-01-25-slam-of-robot-based-on-the-fusion-of-vision-and-lidarrgbd-与lidar-融合好像只是处理逻辑关系判断没有深度融合
ADAPTIVE FILTERING FOR VISION-AIDED INERTIAL NAVIGATIONhttps://smartech.gatech.edu/bitstream/handle/1853/60806/LEE-DISSERTATION-2018.pdf?sequence=1&isAllowed=y
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#7-2019-01-25-adaptive-filtering-for-vision-aided-inertial-navigation-佐治亚理工博士论文关于自适应卡尔曼滤波
Loosely-Coupled Semi-Direct Monocular SLAMhttps://arxiv.org/pdf/1807.10073.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#6-2019-01-25-loosely-coupled-semi-direct-monocular-slam-javier-civera-直接法和特征法融合也是我现在工作比较感兴趣的一个方向
Visual-Inertial SLAM Initialization: A General Linear Formulation and a Gravity-Observing Non-Linear Optimizationhttps://sci-hub.tw/10.1109/ismar.2018.00027
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#5-2019-01-25-visual-inertial-slam-initialization-a-general-linear-formulation-and-a-gravity-observing-non-linear-optimization-javier-civera-关于视觉惯导初始化问题的研究
SDVL: Efficient and Accurate Semi-Direct Visual Localizationhttps://www.researchgate.net/publication/330379725_SDVL_Efficient_and_Accurate_Semi-Direct_Visual_Localization
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#4-2019-01-11-sdvl-efficient-and-accurate-semi-direct-visual-localization-直接法与特征点法混合
A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensorshttps://arxiv.org/pdf/1901.03638.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#3-2019-01-11-a-general-optimization-based-framework-for-local-odometry-estimation-with-multiple-sensors-双目vins
A General Optimization-based Framework for Global Pose Estimation with Multiple Sensorshttps://arxiv.org/pdf/1901.03642.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2-2019-01-11-a-general-optimization-based-framework-for-global-pose-estimation-with-multiple-sensors-港科大多传感器融合
Factor Graphs for Flexible Inference in Robotics and Visionhttps://smartech.gatech.edu/handle/1853/60646
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1-2019-01-09-factor-graphs-for-flexible-inference-in-robotics-and-vision-dellaert-frank视频详解因子图他也是牛逼的skydio-的开发者之一
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#deep-slam
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometryhttps://arxiv.org/pdf/1908.08704.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#24-2019-09-05-sequential-adversarial-learning-for-self-supervised-deep-visual-odometry
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometryhttps://www.researchgate.net/profile/Nan_Yang64/publication/326290322_Deep_Virtual_Stereo_Odometry_Leveraging_Deep_Depth_Prediction_for_Monocular_Direct_Sparse_Odometry/links/5b7d8947a6fdcc5f8b5c3f6f/Deep-Virtual-Stereo-Odometry-Leveraging-Deep-Depth-Prediction-for-Monocular-Direct-Sparse-Odometry.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#23-2019-07-31-deep-virtual-stereo-odometry-leveraging-deep-depth-prediction-for-monocular-direct-sparse-odometry-tum-cremers-利用网络单目深度估计解决单目slam尺度问题
EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Associationhttps://arxiv.org/pdf/1904.11781.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#22-2019-05-09-em-fusion-dynamic-object-level-slam-with-probabilistic-data-association处理动态物体三维重建
GN-Net: The Gauss-Newton Loss for Deep Direct SLAMhttps://arxiv.org/pdf/1904.11932.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#21-2019-05-09gn-net-the-gauss-newton-loss-for-deep-direct-slamdaniel-cremers-所作在帧间tracking时replace-the-image-i-with-a-feature-map-computed-by-a-deep-neural-network
Deep Sensor Fusion between 2D Laser Scanner and IMU for Mobile Robot Localizationhttps://ieeexplore.ieee.org/abstract/document/8689068
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#20-2019-04-26-deep-sensor-fusion-between-2d-laser-scanner-and-imu-for-mobile-robot-localization
LO-Net: Deep Real-time Lidar Odometryhttps://arxiv.org/pdf/1904.08242.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#19-2019-04-26-lo-net-deep-real-time-lidar-odometry
AI-IMU Dead-Reckoninghttps://arxiv.org/pdf/1904.06064.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#18-2019-04-23-ai-imu-dead-reckoning只利用imu做航迹推算使用了卡尔曼滤波和神经网络
Localizing Discriminative Visual Landmarks for Place Recognitionhttps://arxiv.org/pdf/1904.06635.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#17-2019-04-23-localizing-discriminative-visual-landmarks-for-place-recognition回环检测
Recurrent Neural Network for (Un-)supervised Learning of Monocular Video Visual Odometry and Depthhttps://arxiv.org/pdf/1904.07087.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#16-2019-04-23-recurrent-neural-network-for-un-supervised-learning-of-monocular-video-visual-odometry-and-depth
Semantic Nearest Neighbor Fields for Monocular Edge Visual-Odometryhttps://arxiv.org/pdf/1904.00738.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#15-2019-04-19-semantic-nearest-neighbor-fields-for-monocular-edge-visual-odometry带有语义信息的几何边融入到vo中
VISUAL LOCALIZATION USING SPARSE SEMANTIC 3D MAPhttps://arxiv.org/pdf/1904.03803.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#14-2019-04-17-visual-localization-using-sparse-semantic-3d-map
Discovering and Leveraging Deep Multimodal Structure for Reliable Robot Perception and Localizationhttps://www.researchgate.net/profile/Abhinav_Valada/publication/331247138_Discovering_and_leveraging_deep_multimodal_structure_for_reliable_robot_perception_and_localization/links/5c7d5679299bf1268d3903d5/Discovering-and-leveraging-deep-multimodal-structure-for-reliable-robot-perception-and-localization.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#13-2019-04-17-discovering-and-leveraging-deep-multimodal-structure-for-reliable-robot-perception-and-localization--wolfram-burgard-学生博士论文主要讲述分割网络以及在slam中的应用
Beyond Tracking:Selecting Memory and Refining Poses for Deep Visual Odometryhttps://arxiv.org/pdf/1904.01892.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#12-2019-04-11-beyond-trackingselecting-memory-and-refining-poses-for-deep-visual-odometry-商汤北大合作
Unsupervised Learning of Accurate Camera Pose and Depth From Video Sequences With Kalman Filterhttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8666111
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#11-2019-04-02-unsupervised-learning-of-accurate-camera-pose-and-depth-from-video-sequences-with-kalman-filter
Pose Graph Optimization for Unsupervised Monocular Visual Odometryhttps://arxiv.org/pdf/1903.06315.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#10-2019-03-25-pose-graph-optimization-for-unsupervised-monocular-visual-odometry
Sparse Representations for Object and Ego-motion Estimation in Dynamic Sceneshttps://arxiv.org/pdf/1903.03731.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#9-2019-03-16-sparse-representations-for-object-and-ego-motion-estimation-in-dynamic-scenes
DeepLO: Geometry-Aware Deep LiDAR Odometryhttps://arxiv.org/pdf/1902.10562.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#8-2019-03-08-deeplo-geometry-aware-deep-lidar-odometry基于深度学习的三维激光slam
A Generative Map for Image-based Camera Localizationhttps://arxiv.org/pdf/1902.11124.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#7-2019-03-08-a-generative-map-for-image-based-camera-localization
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMhttps://arxiv.org/pdf/1902.11046.pdf
codehttps://github.com/jiexiong2016/GCNv2_SLAM
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#6-2019-03-08-gcnv2-efficient-correspondence-prediction-for-real-time-slam-网络生成orb特征点融合orbslam里面去code
Semantic and 3D Understanding of a Scene for Robot Perceptionhttps://sci-hub.tw/http://search.proquest.com/openview/3a5804693015d4d0b42f1e4089a02267/1?pq-origsite=gscholar&cbl=18750&diss=y
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#5-2019-02-15-semantic-and-3d-understanding-of-a-scene-for-robot-perception-硕士论文
VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camerahttps://ieeexplore.ieee.org/document/8624332
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#4-2019-02-14-vunet-dynamic-scene-view-synthesis-for-traversability-estimation-using-an-rgb-camera估计机器人未来可通行区域
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mappinghttps://arxiv.org/pdf/1902.02086.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#3-2019-02-13-gen-slam-generative-modeling-for-monocular-simultaneous-localization-and-mapping
Towards Building the Semantic Map from a Monocular Camera with a Multi-task Networkhttps://arxiv.org/pdf/1901.05807.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2-2019-01-25-towards-building-the-semantic-map-from-a-monocular-camera-with-a-multi-task-network-中山大学通过多任务cnn生成单目深度图与并分割重建出有语义信息的地图
DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Featureshttps://arxiv.org/pdf/1901.07223.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1-2019-01-22-df-slam-a-deep-learning-enhanced-visual-slam-system-based-on-deep-local-features
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#3d-reconstruction
DEFSLAM: TRACKING AND MAPPING OF DEFORMING SCENES FROM MONOCULAR SEQUENCEShttps://arxiv.org/pdf/1908.08918.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#11-2019-09-05-defslam-tracking-and-mapping-of-deforming-scenes-from-monocular-sequences
Learning Meshes for Dense Visual SLAMhttps://www.imperial.ac.uk/media/imperial-college/research-centres-and-groups/dyson-robotics-lab/mbloesch_etal_iccv2019.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#10-2019-09-05-learning-meshes-for-dense-visual-slam
Multi-Robot Collaborative Dense Scene Reconstructionhttps://sci-hub.shop/10.1145/3306346.3322942
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#9-2019-07-26-multi-robot-collaborative-dense-scene-reconstruction
DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictionshttps://www.imperial.ac.uk/media/imperial-college/research-centres-and-groups/dyson-robotics-lab/tlaidlow_etal_icra2019.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#8-2019-06-13-deepfusion-real-time-dense-3d-reconstruction-for-monocular-slam-using-single-view-depth-and-gradient-predictions
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residualshttps://arxiv.org/pdf/1905.02082.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#7-2019-05-14-refusion-3d-reconstruction-in-dynamic-environments-for-rgb-d-cameras-exploiting-residuals
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereohttps://arxiv.org/pdf/1903.10929.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#6-2019-04-02-tapa-mvs-textureless-aware-patchmatch-multi-view-stereo
Robust and affordable localization and mapping for 3D reconstruction. Application to architecture and constructionhttp://uvadoc.uva.es/bitstream/10324/35078/1/Tesis1482-190314.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#5-2019-03-25-robust-and-affordable-localization-and-mapping-for-3d-reconstruction-application-to-architecture-and-construction
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#4-2019-02-18-improving-3d-reconstruction-via-rgb-d-camera-registration-and-shading-based-surface-refinement南阳理工邓腾博士论文
Comparative analysis of properties of LiDAR-based point clouds versus camerabased point clouds for 3D reconstruction using SLAM algorithmshttp://scholar.google.com/scholar_url?url=https://www.doria.fi/bitstream/handle/10024/167410/bistrom_benjamin.pdf%3Fsequence%3D2&hl=de&sa=X&d=12452230042616813822&scisig=AAGBfm38puu_H5N8Tp62YkqQwuvZUVNXOw&nossl=1&oi=scholaralrt&hist=3Pwx2kMAAAAJ:13453396895897446987:AAGBfm2VmZLsOGwX0LAQ1scLkl9E22zpBQ
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#3-2019-02-13-comparative-analysis-of-properties-of-lidar-based-point-clouds-versus-camerabased-point-clouds-for-3d-reconstruction-using-slam-algorithms激光点云与rgbd点云对比
Real-time Monocular Dense Mapping of Small Scenes with ORB Featureshttps://sci-hub.tw/https://ieeexplore.ieee.org/document/8610747
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2-2019-01-12-real-time-monocular-dense-mapping-of-small-scenes-with-orb-features-单目orb-slam重建
NRMVS: Non-Rigid Multi-View Stereohttps://arxiv.org/pdf/1901.03910.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1-2019-01-12-nrmvs-non-rigid-multi-view-stereo-根据不同视角rgb图像对变形物体三维重建
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#auto-driving
Trajectory Optimization of LiDAR SLAM Based on Local Pose Graphhttp://sci-hub.tw/10.1007/978-981-13-7751-8_36
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#10-2019-05-14-trajectory-optimization-of-lidar-slam-based-on-local-pose-graph-优于loam的3d-laser-slam
Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondenceshttps://arxiv.org/pdf/1904.12433.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#9-2019-05-09-automatic-extrinsic-calibration-between-a-camera-and-a-3d-lidar-using-3d-point-and-plane-correspondences-标定相机与三维激光雷达
A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaceshttps://arxiv.org/pdf/1904.12116.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#8-2019-05-09-a-novel-dual-lidar-calibration-algorithm-using-planar-surfaces-标定双激光雷达
DeLiO: Decoupled LiDAR Odometryhttps://arxiv.org/pdf/1904.12667.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#7-2019-05-09-delio-decoupled-lidar-odometry-把旋转和平移分开求解
Tightly Coupled 3D Lidar Inertial Odometry and Mappinghttps://arxiv.org/pdf/1904.06993.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#6-2019-04-23-tightly-coupled-3d-lidar-inertial-odometry-and-mapping港科大lidar融合imu建图
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimizationhttps://arxiv.org/pdf/1903.02046.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#5-2019-03-13-lidar-monocular-visual-odometry-with-genetic-algorithm-for-parameter-optimization在线实时优化参数
An Interactive LiDAR to Camera Calibrationhttps://arxiv.org/pdf/1903.02122.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#4-2019-03-13-an-interactive-lidar-to-camera-calibration-雷达相机外参标定
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#3-2019-03-13-a-fuzzy-innovation-based-adaptive-kalman-filter-for-enhanced-vehicle-positioning-in-dense-urban-environments
Sensor fusion for localization of automated vehicleshttps://d-nb.info/1173898506/34
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2-2019-01-25-sensor-fusion-for-localization-of-automated-vehicles-德国bonn大学自动驾驶多传感器融合博士论文
Self-Driving Cars: A Surveyhttps://arxiv.org/pdf/1901.04407.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1-2019-01-24-self-driving-cars-a-survey
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#path-planning
Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Mapshttps://www.researchgate.net/profile/Weiming_Zhi/publication/332550322_Continuous_Occupancy_Map_Fusion_with_Fast_Bayesian_Hilbert_Maps/links/5cbc7fc1299bf12097765677/Continuous-Occupancy-Map-Fusion-with-Fast-Bayesian-Hilbert-Maps.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#12-2019-04-29-continuous-occupancy-map-fusion-with-fast-bayesian-hilbert-maps
Deep Local Trajectory Replanning and Control for Robot Navigationhttp://iliad.stanford.edu/pdfs/publications/pokle2019deep.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#11-2019-04-26-deep-local-trajectory-replanning-and-control-for-robot-navigation
A new optimization-driven path planning method with probabilistic completeness for wheeled mobile robotshttps://journals.sagepub.com/doi/full/10.1177/0020294019836127
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#10-2019-04-23-a-new-optimization-driven-path-planning-method-with-probabilistic-completeness-for-wheeled-mobile-robots
Confidence random tree-based algorithm for mobile robot path planning considering the path length and safetyhttp://scholar.google.com.hk/scholar_url?url=https://journals.sagepub.com/doi/pdf/10.1177/1729881419838179&hl=zh-CN&sa=X&d=10415875195647299755&scisig=AAGBfm2HyeooIJxniSvIoXqUnJVBbOgqrg&nossl=1&oi=scholaralrt&hist=3Pwx2kMAAAAJ:13322782094633563195:AAGBfm3BsU2dft4hdsGEGWT6jrVBOBGCUA
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#9-2019-04-19-confidence-random-tree-based-algorithm-for-mobile-robot-path-planning-considering-the-path-length-and-safety
Safe, Aggressive Quadrotor Flight via Reachability-based Trajectory Designhttps://arxiv.org/pdf/1904.05728.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#8-2019-04-19-safe-aggressive-quadrotor-flight-via-reachability-based-trajectory-design更激进且安全的路径规划
Online Trajectory Generation of a MAV for Chasing a Moving Target in 3D Dense Environmentshttps://arxiv.org/pdf/1904.03421.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#7-2019-04-15-online-trajectory-generation-of-a-mav-for-chasing-a-moving-target-in-3d-dense-environments
Autonomous Robotic Exploration by Incremental Road Map Constructionhttp://eeyxsun.people.ust.hk/docs/TASE2019_autonomous.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#6-2019-03-08-autonomous-robotic-exploration-by-incremental-road-map-construction港中文港科大合作出品
Efficient Autonomous Exploration Planning of Large Scale 3D-Environmentshttps://www.ida.liu.se/divisions/aiics/publications/RAL-2019-Efficient-Autonomous-Exploration.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#5-2019-02-18-efficient-autonomous-exploration-planning-of-large-scale-3d-environments-frontier-exploration-planning-fep-与-receding-horizon-next-best-view-planning-rh-nbvp方法融合做自主探索
Motion Planning for Micro Aerial Vehicleshttps://sci-hub.tw/http://search.proquest.com/openview/3ddcfedc312ef40732797bfbc416ed59/1?pq-origsite=gscholar&cbl=18750&diss=y
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#4-2019-02-15-motion-planning-for-micro-aerial-vehicles宾大liu-sikang博士论文导师kumar
A Novel GRU-RNN Network Model for Dynamic Path Planning of Mobile Robothttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8625490
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#3-2019-02-14-a-novel-gru-rnn-network-model-for-dynamic-path-planning-of-mobile-robot-全名gated-recurrent-unit-recurrent-neural-network-gru-rnn
Improving the Hybrid A* method for a non-holonomic wheeled robothttps://journals.sagepub.com/doi/full/10.1177/1729881419826857
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2-2019-02-13-improving-the-hybrid-a-method-for-a-non-holonomic-wheeled-robot增强混合a星算法
Planning Algorithms for Multi-Robot Active Perceptionhttp://scholar.google.com/scholar_url?url=https://ses.library.usyd.edu.au/bitstream/2123/19781/3/Graeme%2520Best%2520thesis.pdf&hl=zh-CN&sa=X&d=8591620865467554452&scisig=AAGBfm3-S44J8_MVtxhXZOgRqUDfvDig7g&nossl=1&oi=scholaralrt&hist=3Pwx2kMAAAAJ:7683124594916984709:AAGBfm07xRT6Xkv3-NQLydsk2iShtnUYcA
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1-2019-01-25-planning-algorithms-for-multi-robot-active-perception-悉尼大学多机器人主动感知路径规划
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#others
Dual Fisheye Camera Calibrationhttps://lukic.io/files/Dual_Fisheye_Camera_Calibration.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#10-2019-07-26-dual-fisheye-camera-calibration
MapperBot / iSCAN: Open-Source Integrated Robotic Platform and Algorithm for 2D Mappinghttps://www.researchgate.net/profile/Akram_Al-Hourani/publication/332413257_MapperBot_iSCAN_Open-Source_Integrated_Robotic_Platform_and_Algorithm_for_2D_Mapping/links/5cb3fc5a4585156cd7992888/MapperBot-iSCAN-Open-Source-Integrated-Robotic-Platform-and-Algorithm-for-2D-Mapping.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#9-2019-04-29-mapperbot--iscan-open-source-integrated-robotic-platform-and-algorithm-for-2d-mapping
Contact-Aided Invariant Extended Kalman Filtering for Robot State Estimation*https://arxiv.org/pdf/1904.09251.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#8-2019-04-29-contact-aided-invariant-extended-kalman-filtering-for-robot-state-estimation
An Orthogonal Weighted Occupancy Likelihood Map with IMU-Aided Laser Scan Matching for 2D Indoor Mappinghttps://www.mdpi.com/1424-8220/19/7/1742/pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#7-2019-04-19-an-orthogonal-weighted-occupancy-likelihood-map-with-imu-aided-laser-scan-matching-for-2d-indoor-mapping
Distributed Kalman-filtering: Distributed optimization viewpointhttps://arxiv.org/pdf/1903.07807.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#6-2019-03-25-distributed-kalman-filtering-distributed-optimization-viewpoint
UCSD ECE276A: Sensing & Estimation in Robotics (Winter 2019)https://natanaso.github.io/ece276a/schedule.html
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#5-2018-03-08-ucsd-ece276a-sensing--estimation-in-robotics-winter-2019-uc-圣地亚哥大学机器人感知运动估计课程
Robust Harris Detector Corresponding and Calculates the Projection Error Using the Modification of the Weighting Functionhttp://www.ijmlc.org/vol9/766-M025.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#4-2018-02-25-robust-harris-detector-corresponding-and-calculates-the-projection-error-using-the-modification-of-the-weighting-function多层权重函数增强本质矩阵计算准确度
MC2SLAM: Real-Time Inertial Lidar Odometry Using Two-Scan Motion Compensationhttps://sci-hub.tw/10.1007/978-3-030-12939-2_5
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#3-2019-02-25-mc2slam-real-time-inertial-lidar-odometry-using-two-scan-motion-compensation-激光imu紧耦合方案声称kitti数据集top5且放出了数据集
GPS/LiDAR Sensor Fusion Integrity: A Top-Down Approachhttp://gracegao.ae.illinois.edu/publications/journal/2018_Navigation_GPSLidar%20integrity_Ashwin%20Kanhere.pdf
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#2-2019-02-18-gpslidar-sensor-fusion-integrity-a-top-down-approach-gps-激光融合
Ultra-wideband-based Navigation for Unmanned Aerial Vehicleshttp://scholar.google.com.hk/scholar_url?url=https://dr.ntu.edu.sg/bitstream/handle/10220/47471/THESIS_GUO%2520KEXIN_G1400180L.pdf%3Fsequence%3D1&hl=zh-CN&sa=X&d=7665655280644322246&scisig=AAGBfm0njtXltv-cbMLcxfW5K85Ixk-XSg&nossl=1&oi=scholaralrt&hist=3Pwx2kMAAAAJ:8091854961068759592:AAGBfm2trGFRZKGhbBitzOqs-u-1ftqAhA
https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#1-2019-01-25-ultra-wideband-based-navigation-for-unmanned-aerial-vehicles-南洋理工uwb定位博士论文
Readme https://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research#readme-ov-file
Please reload this pagehttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research
Activityhttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/activity
0 starshttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/stargazers
0 watchinghttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/watchers
0 forkshttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/forks
Report repository https://patch-diff.githubusercontent.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fhipforth%2FRecent_SLAM_Research&report=hipforth+%28user%29
Releaseshttps://patch-diff.githubusercontent.com/hipforth/Recent_SLAM_Research/releases
Packages 0https://patch-diff.githubusercontent.com/users/hipforth/packages?repo_name=Recent_SLAM_Research
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.