Register for an Autonomous Driving Course This Spring

Register for an autonomous driving course taught by visiting scholar William Engle.

1. ME 4470/4471 – Applied Development in Autonomous Driving
   A hands-on course covering the robotics workflow from sensing and perception to control and deployment. Students will work with autonomous race cars and explore Python, ROS 2, perception models, motion estimation, autonomous parking and camera–LiDAR fusion.
2. ME 5570/5571 – Machine Learning for Autonomous Vehicles
   A hands-on graduate course covering applied machine learning for autonomous driving, including neural networks, semantic segmentation, end-to-end driving and camera–LiDAR perception. Students will collect sensor data and test their models on real vehicles. Although this is a graduate-level course, undergraduate students, including those in computer science and electrical engineering, are also welcome to enroll.