LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
A LiDAR odometry pipeline that just works
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
[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.
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO' 24]
KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
A LiDAR odometry pipeline for wheeled mobile robots
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
#计算机科学#SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Understanding (NeurIPS 2023)
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.
[ROS2 humble] Convert 3D LiDAR map to 2D Occupancy Grid Map
A tool to automatically create 3D mappings of lights from two videos
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
Yahboom ROS Transbot Robot with Lidar Depth camera support MoveIt 3D mapping for Nvidia Jetson NANO 4GB B01
Crafting 3D maps of Antarctica with PyGMT and the new IBCSO V2 data