LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled ...
A LiDAR odometry pipeline that just works
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient fronte...
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and...
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with ...
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Impli...
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high vel...
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitti...
SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Un...
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point c...
A tool to automatically create 3D mappings of lights from two videos