floam
Fast mapping algorithm
An optimized lidar odometry and mapping algorithm for fast localization in indoor and outdoor environments
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
1k stars
24 watching
278 forks
Language: C++
last commit: 6 months ago
Linked from 1 awesome list
aloamloamlocalizationroboticsslam
Related projects:
Repository | Description | Stars |
---|---|---|
hyye/lio-mapping | This project provides an implementation of a tightly coupled 3D lidar and inertial odometry and mapping approach for simultaneous localization and mapping in robotics. | 933 |
laboshinl/loam_velodyne | Real-time state estimation and mapping system using 3D lidar data | 1,719 |
hkust-aerial-robotics/a-loam | Implementation of SLAM algorithm using lidar data | 2,156 |
edwardliuyc/staticmapping | A full lidar slam system using LiDAR and GPS, capable of mapping static environments. | 341 |
prbonn/semantic_suma | Efficient LiDAR-based Semantic SLAM algorithm implementation | 926 |
hku-mars/loam_livox | A robust LiDAR odometry and mapping package for low-cost industrial LiDARs | 1,485 |
gogojjh/m-loam | A robust system for online extrinsic calibration and simultaneous localization and mapping of multi-LiDAR systems. | 474 |
weihaotobe94/laserslam | A SLAM system that processes lidar data to create a map of the environment and track the robot's movement | 39 |
prbonn/kiss-icp | A LiDAR odometry pipeline with a robust point-to-point ICP algorithm. | 1,621 |
tum-vision/dvo_slam | An implementation of dense visual odometry and SLAM from RGB-D camera streams. | 647 |
robustfieldautonomylab/lego-loam | A lightweight system for estimating the 6D pose of a ground vehicle based on lidar and inertial data from a mounted sensor. | 2,441 |
rsasaki0109/li_slam_ros2 | A ROS 2 package implementing a SLAM system using lidar and inertial measurements for simultaneous localization and mapping in various environments. | 319 |
prbonn/lidar-mos | This repository provides code and benchmarking tools for learning-based 3D LiDAR object segmentation using sequential data. | 610 |
rsasaki0109/lidarslam_ros2 | Package for 3D lidar slam using ndt/gicp registration and pose optimization in ROS2. | 560 |
molaorg/mola | An optimization framework for computer vision and robot localization | 558 |