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Title: GTSAM | GTSAM is a BSD-licensed C++ library that implements sensor fusion for robotics and computer vision using factor graphs.

Open Graph Title: GTSAM

X Title: GTSAM

Description: GTSAM is a BSD-licensed C++ library that implements sensor fusion for robotics and computer vision using factor graphs.

Open Graph Description: GTSAM is a BSD-licensed C++ library that implements sensor fusion for robotics and computer vision using factor graphs.

Mail addresses
m.ross.hartley@gmail.com
frank.dellaert@gtsam.org

Opengraph URL: http://gtsam.org/

Generator: Jekyll v3.10.0

direct link

Domain: gtsam.org

Hey, it has json ld scripts: 
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Links:

GTSAMhttps://gtsam.org/
Get Startedhttps://gtsam.org/get_started/
Buildhttps://gtsam.org/build/
Tutorialhttps://gtsam.org/tutorials/
Docshttps://gtsam.org/docs/
Bloghttps://gtsam.org/blog/
Abouthttps://gtsam.org/about/
Get Started https://gtsam.org/get_started
https://twitter.com/gtsam4
Bringing Geometric Foundation Models to SLAM: VGGT-SLAM and SL(4) Factor Graph Optimization https://gtsam.org/2026/06/24/vggt-slam.html
Dominic Maggiohttps://dominic101.github.io/DominicMaggio/
Toward Centimeter-Level Positioning with GTSAM: Double-Difference Factors for RTK GNSS https://gtsam.org/2026/06/10/rtk-gnss-double-difference.html
Kosuke Inouehttps://github.com/inuex35
Certifiable Optimization, Part 3: Global Solvers for 3D Vision https://gtsam.org/2026/06/05/luca-heng-global-solvers.html
Frank Dellaerthttps://dellaert.github.io/
Certifiable Optimization, Part 2: Certifiable Factor Graph Optimization https://gtsam.org/2026/06/03/certifiable-factor-graphs.html
David M. Rosenhttps://david-m-rosen.github.io/
Certifiable Optimization, Part 1: Exploiting Chordal Sparsity with Bayes Trees https://gtsam.org/2026/06/01/icra-for-workshop.html
Frank Dellaerthttps://dellaert.github.io/
Speaking of Legged Robots https://gtsam.org/2026/05/26/two-new-arxiv-papers.html
Frank Dellaerthttps://dellaert.github.io/
Smoothing Out the Edges: Continuous-Time State Estimation Tools in GTSAM via Gaussian Processes https://gtsam.org/2026/05/20/gp-ct-in-gtsam.html
Connor Holmeshttps://www.linkedin.com/in/connor-holmes-538726109/
Sven Lilgehttps://www.torontomu.ca/cs/our-people/sven-lilge/
Zi Cong Guohttps://www.linkedin.com/in/zi-cong-daniel-guo/
Frank Dellaerthttps://dellaert.github.io/
Timothy D. Barfoothttps://asrl.utias.utoronto.ca/~tdb/
Quadratic Programs and QCQPs in GTSAM https://gtsam.org/2026/05/13/qp-qcqp-in-gtsam.html
Frank Dellaerthttps://dellaert.github.io/
Yetong Zhanghttps://scholar.google.com/citations?user=Js_AA5IAAAAJ&hl=en
The Manifold Kalman Filter Hierarchy, Part 4: Awesome Equivariant Filters! https://gtsam.org/2026/05/06/awesome-eqfs.html
Rohan Bansalhttps://rbansal.dev/academic
Frank Dellaerthttps://dellaert.github.io
Pieter van Goorhttps://pvangoor.github.io/
Robert Mahonyhttps://eng.anu.edu.au/people/robert-mahony
Alessandro Fornasierhttps://scholar.google.com/citations?user=mb8ewjgAAAAJ&hl=it
Robert Mahonyhttps://eng.anu.edu.au/people/robert-mahony
Stephan Weisshttps://scholar.google.com/citations?user=dQmvEyUAAAAJ&hl=de
The Manifold Kalman Filter Hierarchy, Part 3: Equivariant Filters https://gtsam.org/2026/04/28/equivariant.html
Frank Dellaerthttps://dellaert.github.io/
Rohan Bansalhttps://rbansal.dev/
Factor Graphs and "World Models" https://gtsam.org/2026/04/21/factor-graphs-and-world-models.html
Frank Dellaerthttps://dellaert.github.io/
CustomFactor in Python, C++, and MATLAB https://gtsam.org/2026/04/13/custom-factor-everywhere.html
Frank Dellaerthttps://dellaert.github.io/
Incremental Fast Covariance with iSAM2 https://gtsam.org/2026/04/06/incremental-fast-covariance.html
Frank Dellaerthttps://dellaert.github.io/
Fast Covariance Recovery with Bayes Trees https://gtsam.org/2026/03/29/bayes-tree-covariance-recovery.html
Frank Dellaerthttps://dellaert.github.io/
The Manifold Kalman Filter Hierarchy, Part 2: Legged State Estimation https://gtsam.org/2026/03/17/legged-state-estimation-part2.html
Frank Dellaerthttps://dellaert.github.io/
Varun Agrawalhttps://varunagrawal.github.io/
The Manifold Kalman Filter Hierarchy, Part 1 https://gtsam.org/2026/03/09/manifold-kf-part1.html
Frank Dellaerthttps://dellaert.github.io/
LOST in Triangulation https://gtsam.org/2023/02/04/lost-triangulation.html
Reducing the uncertainty about the uncertainties, part 3: Adjoints and covariances https://gtsam.org/2021/02/23/uncertainties-part3.html
Reducing the uncertainty about the uncertainties, part 2: Frames and manifolds https://gtsam.org/2021/02/23/uncertainties-part2.html
Reducing the uncertainty about the uncertainties, part 1: Linear and nonlinear https://gtsam.org/2021/02/23/uncertainties-part1.html
Mount Rainier's Eigenvectors https://gtsam.org/2020/08/30/Laplacian.html
Frank Dellaerthttps://dellaert.github.io
Releasing GTSAM 4.0.3 https://gtsam.org/gtsam.org/2020/07/16/new-release-gtsam.html
Fan Jianghttps://blog.amayume.net/
Geometry and Variable Naming Conventions https://gtsam.org/gtsam.org/2020/06/28/gtsam-conventions.html
Samarth Brahmbhatthttps://samarth-robo.github.io
What are Factor Graphs? https://gtsam.org/2020/06/01/factor-graphs.html
Frank Dellaerthttps://dellaert.github.io
@fdellaert on Twitterhttp://twitter.com/fdellaert
LQR Control Using Factor Graphs https://gtsam.org/2019/11/07/lqr-control.html
Look Ma, No RANSAC https://gtsam.org/2019/09/20/robust-noise-model.html
varunagrawal.github.iohttps://varunagrawal.github.io
Legged Robot Factors Part I https://gtsam.org/2019/09/18/legged-robot-factors-part-I.html
Launching gtsam.org https://gtsam.org/gtsam.org/2019/05/20/gtsam-org.html
gtsam.orghttp://gtsam.org
Jekyllhttps://jekyllrb.com
Moving to Github! https://gtsam.org/gtsam.org/2019/05/18/moving-to-github.html
GTSAM is now live on Githubhttps://github.com/borglab/gtsam
via RSShttps://gtsam.org/feed.xml
borglabhttps://github.com/borglab
gtsam4https://www.twitter.com/gtsam4

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