Cooperation in Autonomous Vehicles
Explore how real-time decision making is performed by autonomous vehicles, especially when they cooperate with each other, in complex environments such as intersections and lane-changing operations.
What you will learn:
- Recall the significance of safe cooperation and collaboration for Autonomous Vehicles
- Recall the impact of perception system and vehicular communications on Autonomous Vehicles
- Discover the applications for safe cooperation and collaboration
This course is part of the following course program:
IEEE Guide to Autonomous Vehicle Technology
Courses included in this program:
Who should attend: Electrical engineer, Network engineer, Data engineer, Design engineer, Hardware engineer, Security engineer, Lead engineer, Project engineer, Product engineer
Shunsuke Aoki is currently pursuing a Ph.D. degree in Electrical and Computer Engineering at Carnegie Mellon University. He is a member of the Real-Time & Multimedia Systems Lab (RTML). He received a B.Eng. degree from Waseda University and received an M.S. degree from The University of Tokyo, Japan. His current research interests include Vehicular Communications, Multi-robot Coordination, and Cyber-Physical Systems.
Dr. Alexander M. Wyglinski is a Professor of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), President of the IEEE Vehicular Technology Society, and Director of the Wireless Innovation Laboratory (WI Lab). His research interests are in the area of wireless communications, connected vehicles, cognitive radios, autonomous/self-driving cars, and dynamic spectrum access networks. Dr. Wyglinski has authored/co-authored over 120 peer-reviewed journal articles and conference papers, as well as three textbooks. Dr. Wyglinski is a Senior Member of the IEEE, as well as a member of Sigma Xi, Eta Kappa Nu, and the American Society of Engineering Education (ASEE).
Publication Year: 2019