Stars
SOTA Multi-modal LiDARs Mapping Framework (accepted in T-IV)
[RAL'24] Automatic Target-Less Camera-LiDAR Calibration from Motion and Deep Point Correspondences
PyTorch code for [T-RO] CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration
Free PyCharm image viewer plugin for visualizing and debugging NumPy, OpenCV, PyTorch, TensorFlow, JAX, and PIL data.
[ICCV 2025, Highlight] BUFFER-X: Zero-Shot Point Cloud Registration
Fully featured, open source, privacy friendly email app for Android
a paper list of visual re-localization algorithms
A library for differentiable robotics on manifolds.
RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps
[TRO 2025] Codes for "End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization"
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-IC…
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
[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.
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
visual studio code extension simply view the image of the image variables when debugging python
Docker container with all dependencies to be able to work with RangeNet++
A collection of docker environments for 3D SLAM packages
A collection of modern/faster/saner alternatives to common unix commands.
Fast symbolic computation, code generation, and nonlinear optimization for robotics