Factor graphs for Sensor Fusion in Robotics.
GTSAM 4.0 is a BSD-licensed C++ library that implements sensor fusion for robotics and computer vision applications, including SLAM (Simultaneous Localization and Mapping), VO (Visual Odometry), and SFM (Structure from Motion). It uses factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices to optimize for the most probable configuration or an optimal plan. Coupled with a capable sensor front-end (not provided here), GTSAM powers many impressive autonomous systems, in both academia and industry.
Frank Dellaert, August 30, 2020
Author: Fan Jiang
Author: Samarth Brahmbhatt
Author: Varun Agrawal
Author: Ross Hartley
GTSAM is now live on Github. Github is doing so many things right, in addition to being the go-to platform for open source: it has free continuous integration for open source projects, it supports building great web-sites, and it is itself supporting many great efforts such as VS-code and Atom. While we initially launched GTSAM on Bitbucket because of its unlimited private repos, we felt we could hold out no longer. Github, here we come :-)
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