Highlights
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
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