💰 Lidar
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
[T-RO 2022] Official Implementation for "LiCaS3: A Simple LiDAR–Camera Self-Supervised Synchronization Method," in IEEE Transactions on Robotics, doi: 10.1109/TRO.2022.3167455.
SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (CVPR 2022)
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
「香港大学 MaRS 实验室」开源 ikd-Tree 算法中文注释版；新增了header-only分支，便于直接嵌入工程。
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
FASTER-LIO-SAM: A SLAM system based on iVox and GTSAM.
🤔 MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]
Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation"
[ACM MM 2022] You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
深蓝学院 多传感器定位融合第四期 学习笔记
IESKF-LIO reference to fast_lio1.0(参考fast-lio早期版本，复现的fast-lio2)