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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…
Efficient and parallel algorithms for point cloud registration [C++, Python]
A small C++11 header-only library for Lie theory.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
GLIM: versatile and extensible range-based 3D localization and mapping framework
Collect paper about ground segmentation in 3D point cloud.
OpenMMLab's next-generation platform for general 3D object detection.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
A tool to run docker containers with overlays and convenient options for things like GUIs etc.
Autoware - the world's leading open-source software project for autonomous driving
ROS 2 Navigation Framework and System
Generate C# FFI from Rust for automatically brings native code and C native library to .NET and Unity.
ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
http://www.ros.org/wiki/slam_gmapping
Integrates an IMU to predict future odometry readings
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
Python sample codes and textbook for robotics algorithms.
Lightweight, memory-safe, zero-allocation library for reading and navigating PE binaries.
wip - we are building this out now in prep for the real course