What’s New in MATLAB and Simulink for ADAS and AD

In this talk, you will learn about using MATLAB^® and Simulink^® for perception, planning, controls, deep learning, and systems development through examples that ship in the newest release, including:

• Perception: Design LIDAR, vision, radar, and sensor fusion algorithms with recorded and live data
• Planning: Visualize street maps, design path planners, and generate C/C++ code
• Controls: Design a model predictive controller for traffic jam assist, test with synthetic scenes and sensors, and generate C/C++ code
• Deep learning: Label data, train networks, and generate GPU code
• Systems development: Simulate perception and control algorithms as well as integrate and test hand code