Self-Driving Car

Self-driving cars combine sensors to perceive their surroundings, such as cameras, radar, lidar, sonar, GPS, odometry and inertial measurement units. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage.

In this lecture, students will first learn about necessary parts for self-driving cars, then learn how to read sensor readings and how to control motors, and eventually learn how to build up feed back control and feed forward control to implement basic self-driving car functions, such as cruise control, object avoidance, and path finding.

After this lecture, students will improve their robot construction skills and programming skills.