Pyloam
Python implementation of LOAM (Lidar Odometry and Mapping) for rapid prototyping or educational purpose
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Robotic Tooling | 2,777 | 5 months ago | 5 | cc0-1.0 | ||||||
| Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace. | ||||||||||
| Lego Loam | 2,002 | 10 months ago | 14 | bsd-3-clause | C++ | |||||
| LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain | ||||||||||
| Loam_velodyne | 909 | 5 years ago | 93 | other | C++ | |||||
| Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar. | ||||||||||
| Floam | 908 | 5 months ago | 42 | other | C++ | |||||
| Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021 | ||||||||||
| Dynamic_robot_localization | 660 | 5 months ago | 21 | bsd-3-clause | C++ | |||||
| Point cloud registration pipeline for robot localization and 3D perception | ||||||||||
| Direct_lidar_odometry | 642 | 6 months ago | mit | C++ | ||||||
| [IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization. | ||||||||||
| Cv Arxiv Daily | 631 | 3 months ago | 1 | apache-2.0 | Python | |||||
| 🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours) | ||||||||||
| Balm | 551 | 7 months ago | 13 | gpl-2.0 | C++ | |||||
| An efficient and consistent bundle adjustment for lidar mapping | ||||||||||
| Loam_livox | 466 | 4 years ago | 20 | gpl-2.0 | C++ | |||||
| A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR | ||||||||||
| Lidar Mos | 392 | a year ago | 9 | mit | Python | |||||
| (LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021) | ||||||||||
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