VeloView: Difference between revisions

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[[File:VeloViewIntroSlide.jpg|400px | link=https://vimeo.com/73765745 |alt=VeloView Video |VeloView Introduction]]
[[File:VeloViewIntroSlide.jpg|400px | link=https://vimeo.com/73765745 |alt=VeloView Video |VeloView Introduction]]
<mediaplayer>https://vimeo.com/73765745</mediaplayer>


VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E:  ~1.3Million pt/sec). VeloView 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.
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E:  ~1.3Million pt/sec). VeloView 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.

Revision as of 17:03, 21 October 2013

Introduction

VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:

VeloView Video <mediaplayer>https://vimeo.com/73765745</mediaplayer>

VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView 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.

How to Obtain

Binary installers for VeloView are available as community contributed applications:

The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for version 1.0.8. To obtain the latest version clone the git repository as shown below:

$ git clone git://public.kitware.com/VeloView.git

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

How to build

Detailed instructions for building and packaging are available in developers guide the source code checkout under the Documentation folder.