ROS support for Velodyne 3D LIDARs

Last update: Dec 30, 2022

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Overview

Velodyne¹ is a collection of ROS² packages supporting Velodyne high definition 3D LIDARs³.

Warning:

The master branch normally contains code being tested for the next ROS release. It will not always work with every previous release. To check out the source for the most recent release, check out the tag <version> with the highest version number.

The current master branch works with ROS Kinetic and Melodic. CI builds are currently run for Kinetic and Melodic.

¹Velodyne: http://www.ros.org/wiki/velodyne
²ROS: http://www.ros.org
³Velodyne high definition 3D LIDARs: http://www.velodynelidar.com/lidar/lidar.aspx

Owner

ROS device drivers

GitHub Repository http://ros.org/wiki/velodyne

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ROS support for Velodyne 3D LIDARs

Related tags

Overview

Overview

Owner

ROS device drivers

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Codes for building and training the neural network model described in Domain-informed neural networks for interaction localization within astroparticle experiments.

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A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

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Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera.

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