Lidar Processing for Automated Driving

The use of lidar as a sensor for perception in Level 3 and Level 4 automated driving functionality is gaining popularity. MATLAB^® and Simulink^® can acquire and process lidar data for algorithm development for automated driving functions such as free space and obstacle detection. With the point-cloud processing functionality in MATLAB, you can develop algorithms for lidar processing, and visualize intermediate results to gain insight into system behavior.

This talk shows new capabilities including:

• Acquiring live and offline data from Velodyne^® sensors 
• Registering lidar point clouds 
• Segmenting objects and detecting obstacles 
• Applying deep learning to lidar data 
• Generating C/C++ and CUDA^® code from lidar processing algorithms