Towards Collaborative Autonomy

This is a hybrid in-person/remote event. To attend by Zoom:
Link: https://umich.zoom.us/j/91058440705
Meeting ID: 910 5844 0705

Abstract:
Collaborative vehicle autonomy, also known as connected and autonomous vehicles (CAVs), holds great potential in the automotive industry and transportation sector. As the mainstream vehicle autonomy mainly relies on individual vehicle’s on-board sensors, it could be constrained by occlusion, sensing range, and adverse weather conditions. To address this research challenge, in this research seminar, I plan to share several pieces of our works on collaborative autonomy. The latest progress on collaborative autonomy research highlights the significance of seamless wireless cooperation among vehicles, facilitating real-time sharing of environmental insights and road conditions through a streamlined approach. This collective data-sharing could empower AVs to make well-informed decisions.

Short Bio:
Dr. Fan Bai is a staff researcher and lab group manager in the Connected Vehicle Experience Research Lab., Global Research & Development, General Motors Corporation. Before joining General Motors research lab, he received the B.S. degree in automation engineering from Tsinghua University, Beijing, China, in 1999, and the M.S.E.E. and Ph.D. degrees in electrical engineering, from University of Southern California, Los Angeles, in 2005.

His current research is focused on the discovery of fundamental principles and the analysis and design of protocols/systems for next-generation vehicular networks, for safety, telematics and infotainment applications. He published about 120 research papers in top-quality conferences and journals and received more than 17,500 citations (according to Google Scholar). He also has more than 120 patents granted or pending. He is a Fellow of IEEE and a Distinguished Member of ACM.