Stars
A Robust LiDAR-Inertial Odometry for Livox LiDAR
Dead Reckoning In Field Time: Symmetry-Preserving State Estimation Library for Various Robotic Platforms
C++ library to implement invariant extended Kalman filtering for aided inertial navigation.
[IROS 2022] EKF Comparison - Humanoid Base Estimators; IEEE Xplore: https://ieeexplore.ieee.org/document/9982275
InEKF: The Invariant Extended Kalman Filter on Matrix Lie Groups
This repository provides implementation of an incremental k-d tree for robotic applications.
UMich 500-Level Mobile Robotics Course
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Release repo for our SLAM Handbook
R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping package
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version in translation
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Methods for Simultaneous Robot-World Hand-Eye Calibration: A Comparative Study
This code provides methods for robot-world, hand-eye(s) calibration, updated in June 2018..
CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry
The Kalibr visual-inertial calibration toolbox
Autoware - the world's leading open-source software project for autonomous driving
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
vimspector - A multi-language debugging system for Vim
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
gisbi-kim / FAST_LIO_SLAM
Forked from hku-mars/FAST_LIOLiDAR SLAM = FAST-LIO + Scan Context
ROS node that publishes all nodes' CPU and memory usage
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
A simplified implementation of FAST_LIO (with Chinese note)
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees