Professor Madhur Behl's course in autonomous racing allows students working in teams to build, drive and race 1/10th-scale autonomous cars, while learning about the principles of perception, planning and control. They learn to use a robot operating system (ROS); integrate various sensors such as an inertial measurement unit (IMU), cameras, and light detection and ranging (LIDAR) on an embedded computer; and implement algorithms for localization, mapping, path planning and control. The course culminates in a F1/10 “battle of algorithms” race among the teams.
See this video for this semester's highlights.
For more information about the course, please visit the autonomous racing website.