摘要: |
The course focuses on creating a meaningful and challenging design experience for graduate and senior undergraduate electrical engineering, computer science, mechanical engineering, robotics and embedded systems students. The course involves designing, building and testing an autonomous 1/10-scale model F-1 racecar (with 10 times the fun!) using the NVIDIA Jetson platform for real-time perception, control and planning. In addition to providing read-to-use material as a Teaching Kit, the course will introduce an autonomous racing competition in conferences at Embedded Systems Week 2016 and Cyber-Physical Systems Week with challenges testing speed, agility and tracking performance of the on-board vision and control algorithms. Modern robots tend to operate at slow speeds when in complex environments, limiting their utility in high-tempo applications. In this course, students will be tasked with pushing the boundaries of unmanned vehicle speed, decision control and response to fast changes in the environment. Students will work in teams to develop autonomy software to race a converted 1/10 scale RC car equipped with sensors and embedded processing around a large-scale, �real- world� F-1 course. The project team's goal is to teach embedded GPGPU programming in a fun context of high-speed autonomous racing but with serious constraints of real-time processing, challenging controls and fast robot planning on the NVIDIA Jetson TK1 and TX1 platforms. |