LidarView performs real-time visualization and easy processing of live captured 3D LiDAR data from Lidar sensors. Runs on Windows, Linux and MacOS. Contrasting to VeloView (that Kitware develops with Velodyne), it provides experimental algorithms and features, but you may expect LidarView to crash in some situations.
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.
No binary installers are provided yet (that should change in 2020 Q2), so people need to compile it. Keep an eye on this page: Paraview Lidar. The source code for LidarView is made available under the Apache 2.0 license.
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.
Detailed instructions for building and packaging are available in the LidarView Developer Guide .