We aim to teach the foundation of autonomous driving, important algorithms in the field, and how to create an end to end autonomous vehicle. Students should leave the course with their own self-driving car in simulation and a rich understanding of the techniques involved in pursuing car automation further, whether in industry, research or just for fun. Students will pick up the fundamentals of machine learning, object detection and segmentation, trajectory planning, and motion control.

The class is formatted for a weekly 2-hour block with 1 hr 15 minutes of lecture and 45 minutes of check-ins, group project work and questions. There are weekly assignments, all of which interface a simulation environment. With an emphasis on student-teacher interaction, attendance is extremely important.