GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)

A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

The first 6-DoF spline-based recursive motion esimator for LiDAR-based odometry

MOLA LiDAR odometry and localization

[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

[IROS 2025] A Robust Tightly-Coupled RGBD-Inertial and Legged Odometry Fusion SLAM for Dynamic Legged Robotics

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

HybVIO visual-inertial odometry and SLAM system

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

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

Robust Lidar Odometry System