Development of a Course on Automated Vehicle Technologies
Principal Investigator(s):Brian Davis, Researcher, Mechanical Engineering
This project focuses on the development of a professional course for state, county, and local transportation professionals about automated vehicle technologies. The goal of the course is for attendees to better understand topics related to vehicle automation, including enabling technologies (e.g. GPS/GNSS, radar, LIDAR, cameras, and communication), controls and sensor fusion, and application-level algorithms such as localization and guidance. The course is designed as a multi-day professional course that includes classroom-based lectures as well as field-based workshop and laboratory exercises. Lectures cover foundational topics such as operating principles of sensors and the fundamentals of guidance algorithms. Laboratory exercises focus on the demonstration of and participant interaction with a small unmanned ground vehicle (i.e., a mobile robot). This serves as a platform for experimenting with different sensors and algorithms to see how they affect system performance in a real-world vehicle. The content is designed to be interesting, informative, and applicable for the audience. The project seeks to bridge the gap between academia and real-world practitioners interested in learning more about these technologies.