cocel-postech / genz-lio

GenZ-LIO: SOTA robust LiDAR-inertial odometry (IEEE T-FR 2026)

isl-org / Open3D

Open3D: A Modern Library for 3D Data Processing

nvidia-isaac / cuVSLAM

CUDA-accelerated visual odometry and SLAM library for fast, accurate, low-latency camera tracking

princeton-vl / DPVO

Deep Patch Visual Odometry/SLAM

PRBonn / rko_lio

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

MichaelGrupp / evo

Python package for the evaluation of odometry and SLAM

luigifreda / pyslam

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

NVIDIA-ISAAC-ROS / isaac_ros_visual_slam

Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM

cocel-postech / genz-icp

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

ChiyunNoh / TRaIL-Odom

[RA-L 2026] TRaIL-Odom: Tightly Coupled Continuous Time Radar-IMU-LiDAR Odometry with Adaptive Doppler Weighting

Huashuijingying / SA-LIVO-Reimpl

An open reproduction of SA-LIVO: Efficient LiDAR-Inertial-Visual Odometry with Subspace-Aware Degeneracy Handling (arXiv:2606.25699), an independent reimplementation derived from the FAST-LIVO2 ROS2 framework.

Ly041021 / TIO-Former

TIO-Former: Ultra-Lightweight 6-Directional ToF-Inertial Odometry for Nano-UAVs

ori-drs / FoundationVIO

FoundationVIO: Enforcing Metric Scale in Feed-forward Visual-Inertial Odometry