Object detection is a major lidar application. The objects detected in lidar point cloud data are crucial for downstream workflows like tracking and labeling. Lidar Toolbox™ provides the object detection CNN PointPillars for developing custom object detection models.
Lidar Toolbox provides detection and tracking workflows for vehicles and road lanes. Most of the tracking workflows use the joint probabilistic data association (JPDA) tracker.
|Ground truth label data|
|Combine data from multiple datastores|
|Datastore with custom file reader|
|Datastore for bounding box label data|
|Create randomized 3-D affine transformation|
|Apply geometric transformation to bounding boxes|
|Transform 3-D point cloud|
Understand how to use point clouds for deep learning.
Datastores for Deep Learning (Deep Learning Toolbox)
Learn how to use datastores in deep learning applications.
List of Deep Learning Layers (Deep Learning Toolbox)
Discover all the deep learning layers in MATLAB®.
Compare visualization functions.