ROS2 version of FAST_LIO2. Welcome to the technical communication discord server discord: https://discord.gg/U3B65MGH8m

Multi-LiDAR version of FAST-LIO2: A computationally efficient and robust LiDAR-inertial odometry (LIO) package

GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025) (Optimized version for reduced CPU usage)

The my own refactoring codes and English-translated comments of the original repo《自动驾驶中的SLAM技术》对应开源代码

[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.

Fusing GNSS and wheel measurements based on FAST-LIO and IKFOM

Efficient and parallelized algorithms for point cloud registration [C++, Python]

The repository for HeLiPR file player in ROS2.

[Python-binded] C++ header-only library with methods to efficiently encode/decode Morton codes in/from 2D/3D coordinates

fork of chaehyeonsong/discocal

(ICRA '25) Radar4VoxMap: Accurate Odometry from Blurred Radar Observations

Direct Sparse Odometry (both standalone and ROS1 supports)

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

python binding for DBoW3

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

A fast and robust point cloud registration library

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

An optimization-based multi-sensor state estimator

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping