Lists (8)
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Postgraduate Thesis: fast_lio_sam + dynamic removal (T-GRS 2024) + multi-session mapping (ICRA 2022 Kim) + object-level update + online relocalization (ICRA 2025) + real-world application (MD-LVIO)
gradslam is an open source differentiable dense SLAM library for PyTorch
SpatialLM: Large Language Model for Spatial Understanding
[RA-L 2025] A stereo visual-inertial odometry system based on voxel map
oneAPI Threading Building Blocks (oneTBB)
iG-LIO: An Incremental GICP-based Tightly-coupled LiDAR-inertial Odometry
Using error-state Kalman filter to fuse the IMU and GPS data for localization.
A Handy Extrinsic Calibration Tool for LiDAR-camera Systems.
The first 6-DoF spline-based recursive motion esimator for LiDAR-based odometry
Dynamic Initialization for LiDAR-inertial SLAM
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search.
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
Hardware-synchronized device for FAST-LIVO (Handheld & UAV).
Robust Ground Constrained LiDAR SLAM for Mobile Robot with Sparse-channel LiDAR
LIO_SAM 6轴IMU适配香港城市数据集UrbanNav，并给出添加GPS约束和不加GPS约束的结果
fast-lio with loop factor and gps factor for back end optimization.
Fast lio with loop closing function. the Transform between map coordinate to Odom coordinate is maintained and used to correct the FAST-LIO pose to the map system, providing initial pose-graph. The…
Calibration tools for multi-sensor, multi-modal robotic systems
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
An Open-source Package for GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization
[CVPR 2025] Official repository for "Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders"
KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples
[ICRA 2025] Real-Time LiDAR Point Cloud Compression and Transmission for Resource-constrained Robots
IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP
Collection of Papers with Codes: LiDAR Odometry/SLAM, Dynamic Object Removal, and Multiple Map Merging