GitHub topics: velodyne-sensor

Repositories

valgur/velodyne_decoder

Fully-featured C++/Python Velodyne packet decoder

Language: C++ - Size: 338 KB - Last synced at: about 8 hours ago - Pushed at: 7 months ago - Stars: 45 - Forks: 14

virtual-vehicle/pointcloudset

Efficient analysis of large datasets of point clouds recorded over time

Language: Python - Size: 105 MB - Last synced at: about 8 hours ago - Pushed at: 2 months ago - Stars: 50 - Forks: 8

PRBonn/depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

Language: C++ - Size: 9.68 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 1,259 - Forks: 381

VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.

Language: C++ - Size: 43.7 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 321 - Forks: 165

Dung-Han-Lee/RIUNET-Row-Detection-with-LIDAR-range-image

traversal row detection using UNet with LIDAR range images

Language: Python - Size: 10.4 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

RobuRishabh/LiDAR-point-cloud-based-3D-object-detection

The project’s main goal is to investigate real-time object detection and tracking of pedestrians or bicyclists using a Velodyne LiDAR Sensor. Various point-cloud-based algorithms are implemented using the Open3d python package. The resulting 3D point cloud can then be processed to detect objects in the surrounding environment.

Language: C++ - Size: 3.51 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2