PRBonn / depth_clusteringLinks
Fast and robust clustering of point clouds generated with a Velodyne sensor.
☆1,296Updated 4 years ago
Alternatives and similar repositories for depth_clustering
Users that are interested in depth_clustering are comparing it to the libraries listed below
Sorting:
- ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point corresponden…☆1,711Updated 3 months ago
- Convert KITTI dataset to ROS bag file the easy way!☆804Updated last year
- A list of references on lidar point cloud processing for autonomous driving☆771Updated 3 years ago
- Ground Segmentation from Lidar Point Clouds☆785Updated last year
- Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.☆843Updated 3 years ago
- The LiDAR segmenters library, for segmentation-based detection.☆417Updated 3 years ago
- SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)☆996Updated last year
- Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)☆653Updated 4 years ago
- Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving☆1,026Updated last year
- ROS support for Velodyne 3D LIDARs☆705Updated 5 months ago
- An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...☆402Updated 7 years ago
- A map representation based on 3D segments☆1,097Updated 4 years ago
- A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor☆1,011Updated 10 months ago
- Intensity-based_Lidar_Camera_Calibration☆466Updated last year
- My awesome point cloud labeling tool☆736Updated 10 months ago
- A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes☆1,205Updated last year
- Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22☆917Updated 9 months ago
- Real-time 3D localization using a (velodyne) 3D LIDAR☆961Updated last year
- ☆542Updated 2 years ago
- Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.☆1,749Updated 6 years ago
- Multi-threaded and SSE friendly NDT algorithm☆826Updated last year
- Interactive Map Correction for 3D Graph SLAM☆934Updated last year
- loam code noted in Chinese(loam中文注解版)☆1,065Updated 6 years ago
- OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)☆716Updated 2 years ago
- Advanced implementation of LOAM☆2,358Updated 2 years ago
- [ROS package] Lightweight and Accurate Point Cloud Clustering☆412Updated 2 years ago
- Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation☆577Updated 6 years ago
- A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR☆1,584Updated 5 years ago
- Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)☆998Updated 5 years ago
- Inference module for RangeNet++ (milioto2019iros, chen2019iros)☆348Updated 3 years ago