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Introduction

LidarView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E).

LidarView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360° and a vertical field of view of 40°/26° with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). LidarView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.

Features

How to Get

Binary installers for VeloView are available on this page: https://gitlab.kitware.com/LidarView/VeloView-Velodyne/-/releases

VeloView has the same runtime requirements as LidarView, see INSTALLATION.md

How to Build

VeloView compilation follows the same steps as LidarView, see Developper Guide

The source code for VeloView is made available under the Apache 2.0 license.

How to Use

Take a look at: VeloView User Guide

Get started with SLAM using this Guide : How to SLAM

See LidarView & SLAM in action in the LidarView 2021 Webinar Video

Sample data for VeloView can be obtained from MIDAS in the Velodyne LiDAR collection.

Configuration Tips

For "sensor streaming" (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:

In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).

When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.

For Github users

Github is a mirror of the official repository. We do not actively monitor issues or pull request on Github. Please use the official repository to report issues or contributes fixes.