ADAS and autonomous driving technologies are redefining the automotive industry ranging from daily commutes to commercial haulage. Engineers across the industry use Model-Based Design with MATLAB® and Simulink® to develop their automated driving systems. In this talk facilitated by IMechE, Marc demonstrates how these tools serve as an integrated development environment for the different domains required for automated driving, including perception, sensor fusion, and control design.
Join this session to learn how to:
- Visualise vehicle sensor data from radar, vision and lidar systems
- Develop deep learning algorithms to detect and verify objects in images
- Fuse and track multiple object detections
- Build scenario simulations to test the performance of ADAS systems