Stars
Efficient and parallel algorithms for point cloud registration [C++, Python]
SpatialLM: Large Language Model for Spatial Understanding
Collection of Papers with Codes: LiDAR Odometry/SLAM, Dynamic Object Removal, and Multiple Map Merging
[IEEE T-RO 2025] iKalibr: Multi-Sensor Calibration (Extrinsics & Time Offsets)
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
📌 PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map [RSS' 25]
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
Probabilistic Contact State Estimation for Legged Robots in ROS
A GNSS/INS Integrated Navigation System with a Wheel-mounted IMU
Checking a BibTeX file for violations of the IPB bibliography style
EKF/UKF state estimators for estimating base and centroidal states of a legged robot
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS,…
P(oint) (e)Tudes lab: Lidar odometry, SLAM and visualization experiments
pySLAM is a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local and global features, different loop-closing methods, a volumetric reconstruction pip…
C++ library to implement invariant extended Kalman filtering for aided inertial navigation.
a legged robot (Unitree Go1) dataset containing leg kinematics (joint encoders and contact sesors), imu and lidar
Leg-KILO: Robust Kinematic-Inertial-Lidar Odometry for Dynamic Legged Robots
[ICRA 2024] SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
M2DGR： a Multi-modal and Multi-scenario Dataset for Ground Robots(RA-L2021 & ICRA2022)
[TMECH'2024] Official codes of ”PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation“
This is the code repository for the IEEE-RAL'24 paper "FMCW-LIO: A Doppler LiDAR-Inertial Odometry"
LiDAR-based 3D global registration benchmark.
3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation (CVPR 2024)