Deepmapping
[CVPR2019 Oral] Self-supervised Point Cloud Map Estimation
| 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. | ||||||||||
| 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. | ||||||||||
| Dynamic_robot_localization | 660 | 6 months ago | 21 | bsd-3-clause | C++ | |||||
| Point cloud registration pipeline for robot localization and 3D perception | ||||||||||
| 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) | ||||||||||
| Open3d_slam | 376 | 7 months ago | 3 | bsd-3-clause | C++ | |||||
| Pointcloud-based graph SLAM written in C++ using open3D library. | ||||||||||
| Lidar Slam Detection | 328 | 4 months ago | 10 | apache-2.0 | C++ | |||||
| LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic | ||||||||||
| Sc Lego Loam | 256 | 3 years ago | 1 | C++ | ||||||
| LiDAR SLAM: Scan Context + LeGO-LOAM | ||||||||||
| Deepmapping | 191 | a year ago | other | Python | ||||||
| [CVPR2019 Oral] Self-supervised Point Cloud Map Estimation | ||||||||||
| Lt Mapper | 189 | 2 years ago | C++ | |||||||
| A Modular Framework for LiDAR-based Lifelong Mapping | ||||||||||
| Iridescence | 162 | 3 months ago | 4 | mit | C++ | |||||
| 3D visualization library for rapid prototyping of 3D algorithms | ||||||||||
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Python
Deep Learning
Pytorch
Cloud Computing
Sensor
Mapping
Registration
Point Cloud
Unsupervised Learning