Advanced driver assistance systems use 3-D point clouds obtained from lidar scans to measure physical surfaces. Lidar point cloud processing enables you to downsample, denoise, and transform these point clouds before registering them or segmenting them into clusters. You can also read, write, store, display, and compare point clouds, including point clouds imported from Velodyne packet capture (PCAP) files.
|Object for storing 3-D point cloud|
|Read point cloud data from Velodyne PCAP file|
|Read 3-D point cloud from PLY or PCD file|
|Write 3-D point cloud to PLY or PCD file|
|Read message headers from Ibeo Data Container (IDC) file|
|Select subset of messages to read from Ibeo Data Container (IDC) file|
|Object for reading message content from Ibeo Data Container (IDC) file|
|Read messages from Ibeo Data Container (IDC) file selection|
Detect, Classify, and Track Vehicles Using Lidar (Lidar Toolbox)
This example shows how to detect, classify, and track vehicles by using lidar point cloud data captured by a lidar sensor mounted on an ego vehicle.