LIO_SAM for 6-axis IMU and GNSS.
-
Updated
Apr 26, 2024 - C++
LIO_SAM for 6-axis IMU and GNSS.
A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
Lidar-IMU Localization System with Prior Map Constraint and Lio Constraint
GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-free State Estimation
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.
A very minimal but working Python only implementation for loosely-coupled LiDAR-Inertial odometry for education purpose.
Lidar localization system with prior map constraint and lio constraint based on GTSAM
Solutions for the Luxembourg Informatics Olympiad
Furry Discord Bot for Utility and Fun
Add a description, image, and links to the lio topic page so that developers can more easily learn about it.
To associate your repository with the lio topic, visit your repo's landing page and select "manage topics."