PRBonn / depth_clusteringLinks
Fast and robust clustering of point clouds generated with a Velodyne sensor.
☆1,270Updated 3 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:
- Convert KITTI dataset to ROS bag file the easy way!☆782Updated last year
- ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point corresponden…☆1,644Updated 2 years ago
- Ground Segmentation from Lidar Point Clouds☆752Updated last year
- A list of references on lidar point cloud processing for autonomous driving☆769Updated 3 years ago
- Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.☆803Updated 3 years ago
- SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)☆967Updated last year
- The LiDAR segmenters library, for segmentation-based detection.☆417Updated 2 years ago
- Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving☆995Updated 11 months ago
- Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)☆621Updated 4 years ago
- ROS support for Velodyne 3D LIDARs☆682Updated 9 months ago
- A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor☆953Updated 4 months ago
- An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...☆401Updated 6 years ago
- A map representation based on 3D segments☆1,095Updated 4 years ago
- Real-time 3D localization using a (velodyne) 3D LIDAR☆897Updated last year
- Intensity-based_Lidar_Camera_Calibration☆453Updated last year
- loam code noted in Chinese(loam中文注解版)☆1,035Updated 5 years ago
- Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22☆807Updated 3 months ago
- OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)☆702Updated 2 years ago
- My awesome point cloud labeling tool☆710Updated 4 months ago
- ☆524Updated 2 years ago
- Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.☆1,742Updated 6 years ago
- Multi-threaded and SSE friendly NDT algorithm☆795Updated 11 months ago
- A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes☆1,131Updated 11 months ago
- Interactive Map Correction for 3D Graph SLAM☆901Updated 11 months ago
- Advanced implementation of LOAM☆2,281Updated last year
- A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR☆1,548Updated 5 years ago
- Ouster, Inc. sample code☆493Updated 3 weeks ago
- Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)☆976Updated 5 years ago
- [ROS package] Lightweight and Accurate Point Cloud Clustering☆405Updated 2 years ago
- Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation☆574Updated 6 years ago