LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
- lidar-odometry
- lidar-slam
- loam-velodyne
- lidar-inertial
Repository Index
47,133 repositories indexed
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LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
- loam
- iros
- ieee
- lidar
Advanced implementation of LOAM
- loam
- lidar
- slam
A LiDAR odometry pipeline that just works
- 3d-mapping
- icp
- lidar-slam
- slam
3D LIDAR-based Graph SLAM
- ros
- slam
- lidar
- velodyne
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
- velodyne
- ros
- loam-velodyne
- lidar
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
- loam
- livox-lidar
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
- catkin
- velodyne-sensor
- segmentation
- clustering
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
- loam
- slam
- aloam
- localization
efficient tools for LiDAR processing
A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor
A Modular Optimization framework for Localization and mApping (MOLA)
- slam
- lidar
- lidar-point-cloud
- localization
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
- sensor-fusion
- slam
- mapping
- icra2019
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
- rangenet-lib
- suma
- lidar
- slam
Interactive Map Correction for 3D Graph SLAM
- ros
- slam
- lidar
- velodyne
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
- lidar-object-tracking
- object-tracking
- lidar-navigation
- multiple-object-tracking
Point cloud registration pipeline for robot localization and 3D perception
- robot-localization
- localization
- robotics
- mapping
Ground Segmentation from Lidar Point Clouds
- lidar
- ros
- segmentation
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
Calibrate the extrinsic parameters between Livox LiDAR and camera
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
- pointclouds
- 3-d
- visualization
- lidar
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.