Autonomous Driving and Robotic Racing 0,

3 Credits

Basic framework of autonomous robots; drive train, vehicle controls, and dynamics models; perception subsystems including sensors such as sonar, Lidar, camera, or inertial measurement units (IMU); Robotic Operating Systems (ROS), racing simulators, autonomous driving methods including reactive and deliberative methods; simultaneous localization and mapping (SLAM); path planning and race-line optimization; learning and vision with image classification and obstacle detection. This course is a version of ECE 306 for graduate students. Credit not given for both ECE 306 and ECE 406 . Prerequisites: ECE 108 and ( MATH 205 or CSE 140 )