A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
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Updated
Feb 24, 2020 - C++
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
A simple localization framework that can re-localize in built maps based on FAST-LIO.
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
Shenzhen MSU-BIT University PolarBear Team's Sentry Navigation Sim2Real Package for RoboMaster2025. QQ group: 932119307
Plugin for the simulation of the Livox Mid-360
auto-calibration of lidar and camera based on maximization of intensity mutual information
generic DBSCAN on CPU & GPU
LiDAR-Camera Calibration for non-repeative scanning Livox LiDAR
LIDAR(Livox Horizon) point cloud preprocessing, including point cloud filtering and point cloud feature extraction (edge points and planar points)
This is the official repository of LiLi-OM, a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
ROS2 driver for Livox Avia
This is a modified version of the original livox mapping.
MOLA SLAM for Livox MID-360 LiDAR + ROS2 Humble. Based on Prof. José-Luis Blanco-Claraco's framework. Custom preprocessing & visualization included.
This package developed in ROS is for point cloud processing of a livox360 sensor.
Livox device driver under Ros(Compatible with ros and ros2), support Lidar HAP and Mid-360.
LiDAR odometry algorithms dedicated exclusively for research purposes
This python script create POS file in pix4D photogrametry readable .csv format from Livox Lidar Sensors
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