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VeloView performs real-time visualization and processing of live captured 3D LiDAR data from Velodyne’s HDL sensors (HDL-64E, HDL-32E, VLP-32, VLP-16, Puck, Puck LITE, Puck Hi-Res, Ultra Alpha, Alpha Prime, Velarray, Velabit, Veladome).

VeloView can playback pre-recorded data stored in .pcap files, and can record live stream as .pcap file. The sensor sweeps an array of lasers (16, 32, 64, 128) 360° and a vertical field of view of 40°/20° with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView provides tools to display, select and measure information about the points captured from the sensor. VeloView displays the distance measurements from the Lidar as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, dual return type, 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.


New in 5.1

  • Underlying Paraview version is now 5.9
  • Support for Velarray sensors
  • Allow opening multiple sensors at the same time
  • Allow Live transform of the data for each sensor independently
  • Allow Pausing visualization during Stream mode
  • Allow to save custom camera view points
  • Export to LAS / PCD / PLY
  • Add python bindings for most common functionalities
  • Upgrade python console to 3.9.5
  • Add ruler for measuring distances between points

From version 4.1:

  • Underlying ParaView version is now version 5.4
  • Support for Alpha Prime
  • Apply a transform on LiDAR data
  • Configurable listening ports
  • SLAM support (when building from source. Not included by default in the installers)

 From version 3.5:

  • Underlying ParaView version is 5.1.2
  • Forward data received toward another port or/and ip address
  • Show the Rotation Per Minute of the current frame
  • Tool to select the dual returns of a selection of points
  • Cropping tool in Spherical and Box mode
  • Support for HDL-64 dual mode & on-the-fly calibration data
  • Support for VLP-32a, VLP-32b, VLP-32c, Puck Hi-Res and Puck LITE
  • Base infrastructure for georeferencing from GPS and IMU data
  • Base infrastructure for performing SLAM-based mapping, with and without GPS/IMU. See example below. This feature not yet fully available.
  • Advanced options to visualize 0-distance returns, empty frames, intensity correction and raw data (without azimuth adjustment)
  • User configurable playback speed

From version 3.1.1:

  • Underlying ParaView version is 4.3
  • Visualization of LiDAR returns in 3D + time including 3D position and attribute data such as timestamp, azimuth, laser id, etc
  • Spreadsheet inspector for LiDAR attributes
  • Record to .pcap from sensor
  • Export to CSV or VTK formats

From version 2.0:

  • Underlying ParaView version is 4.1
  • Input from live sensor stream or recorded .pcap file
  • Record and export GPS and IMU data
  • Ruler tool
  • Visualize path of GPS data
  • Show multiple frames of data simultaneously
  • Show or hide a subset of lasers


Binary installers for VeloView are available as community contributed applications:

Windows 64-bitsWindow 32-bitsMac OSC 64-bitsLinux 64-bits
5.1Version 5.1 – Windows 64Version 5.1 – Mac OSX 12.55.1 – tar.gz
4.1.3Version 4.1.3 – Windows 64Version 4.1.3 – Mac OSX – tar.gz
3.5.0Version 3.5.0 – Windows 64Version 3.5.0 – Windows 32Version 3.5.0 – Mac OSX – tar.gz
3.5.0 – sh
3.1.1Version 3.1.1 – Windows 64Version 3.1.1- Windows 32Version 3.1.1 – Mac OSX 10.8
2.0Version 2.0 – Windows 64Version 2.0 – Windows 32Version 2.0 – Mac OSX 10.8
1.0.8Version 1.0.8 – Windows 64Version 1.0.8 – Windows 32Version 1.0.8 – Mac OSX 10.8

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

User Instructions

Details instructions are in the “VeloView user Guide” supplied with the software.


Example video of a final mapping application using the new SLAM infrastructure

Below is some examples of using the built-in infrastructure for performing SLAM-based mapping, directly from an custom VeloView built for one of our customer BoE Systems.

Developer Instructions

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