Design and Test Traffic Jam Assist, A Case Study
Traffic jam assist systems require a combination of longitudinal control, stop and go management, and lateral control with lane following control. This presentation will show you how to:
- Design a MPC-based lane following and longitudinal controller
- Specify driving scenarios using the Driving Scenario Designer app
- Synthesize sensor detection using a vision and radar sensor model
- Design a sensor fusion algorithm
- Run tests in simulation
Seo-Wook Park is a principal application engineer at MathWorks, focusing on advanced driver assistance systems (ADAS) and automated driving. He is working on ADAS algorithm development, including vision and radar sensor fusion algorithms for forward collision warning and AEB, lidar 3D point cloud signal processing for autonomous driving, ground-truth labeling for vision data, and deep learning for computer vision. Before joining MathWorks, he worked in passive and active safety electronics development at Autoliv, Bosch, and Hyundai Autonet for over 20 years. He has a Ph.D. in robotics and control system from the Korea Advanced Institute of Science and Technology (KAIST).