What Is Lidar Toolbox?

Lidar Toolbox™ provides algorithms, functions, and apps for designing, analyzing, and testing lidar data processing systems. You can perform object detection and tracking, semantic segmentation, shape fitting, point cloud registration, and obstacle detection. Lidar Camera Calibrator app from Lidar Toolbox can be used to cross calibrate lidar and camera for workflows that combine computer vision and lidar data processing.

You can train custom detection and semantic segmentation models using deep learning and machine learning algorithms such as PointSeg, PointPillar, and SqueezeSegV2. The Lidar Labeler app supports manual and semi-automated labeling of point clouds for training deep learning and machine learning models. Lidar toolbox lets you stream data from Velodyne® and Ouster lidars and read data recorded by Velodyne, Ouster, and Hesai Pandar lidar sensors.

Lidar Toolbox provides reference examples illustrating the use of lidar data processing for perception and navigation workflows. Most toolbox algorithms support C/C++ code generation for integrating with existing code, desktop prototyping, and deployment.