Stars
Code of the paper "Simplifying Certifiable Estimation: A Factor Graph Optimization Approach"
CU-MULTI is a multi-robot dataset that contains two large-scale outdoor sequences collected by a single ground robot on The University of Colorado Boulder campus.
Repository for implementation of Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes
Release repo for our SLAM Handbook
A large-scale multi-robot dataset for multi-robot SLAM
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
Modular, open-source implementations of continuous-time simultaneous localization and mapping algorithms.
The codebase of normalizing flows for incremental soomthing and mapping (NF-iSAM). The datasets used for performance evaluation are provided as well.
Factored inference for discrete-continuous smoothing and mapping.
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…