Practice of Cross-Departmental Competition Using AI Autonomous Driving Technology Education Teaching Material

Abstract

It is important to further improve autonomous driving technology from the viewpoint of not only reducing vehicle accidents, but also reducing the burden on drivers, improving public transportation, and solving the labor shortage at logistics sites. Therefore, there is an urgent need to train engineers who understand autonomous driving technology and learn how to use it. Engineers involved in autonomous driving are required to have not only vehicle dynamics and control, but also expertise in information systems, as well as knowledge and experience in autonomous driving using AI. The authors have developed educational materials for AI autonomous driving technology, and practiced using the teaching materials according to classroom lectures on vehicle motion and AI. We aimed to develop human resources that contribute to the new development of the industry by holding competitions that compete for comprehensive performance of vehicle motion, control, AI, etc. using these AI-equipped vehicle learning materials. Information system department and mechanical system department participated in this trial of new utilization. This paper describes the practice of an AI automated driving competition with the participation of students from multiple departments as a cross-disciplinary competition and its effects.