Open3D: A Modern Library for 3D Data Processing

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

loam code noted in Chinese（loam中文注解版）

Robotics with GPU computing

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

X Inertial-aided Visual Odometry

🚀 AirVO upgrades to AirSLAM 🚀

CT-ICP: Continuous-Time LiDAR Odometry

[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.

Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217

A bunch of state estimation algorithms

Minimal, robust, accurate and real-time LiDAR odometry

T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP

Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests)

ORORA: Outlier-robust radar odometry, which is accepted in ICRA'23

A LiDAR odometry pipeline for wheeled mobile robots

An easy to use and feature-rich PROS template for the Vex V5

ROS Hexapod stack with functioning 2D and 3D mapping.