This article discusses how connected cooperative control of autonomous vehicles (AVs) can help in providing safe and comfortable mobility during unexpected road situations. Driving AVs in urban areas poses a big challenge due to the complexity of the traffic rules as well as unexpected scenarios involved. In these situations, an inter-vehicle communication system can be of great help. Cooperation between multiple AVs is possible with the development of vehicular communication. In particular, state estimation can be improved with multiple sources of information gathered from different vehicles. Cooperative state estimation can also improve robustness against communication failure. With future trajectories shared among nearby vehicles, the motion can be coordinated to make navigation safer and smoother for AVs. For vehicular communication, the IEEE 802.11p standard has been designed to allow information exchange between high-speed cars, and between vehicles and roadside infrastructure. Other wireless communication technologies, such as 3G, 4G, and WiFi, are also suggested.
Connected Cooperative Control of Autonomous Vehicles During Unexpected Road Situations
Hans Andersen received B.Eng (Hons) in Mechanical Engineering and M.Sc. in Mechatronics degrees from National University of Singapore in 2013 and 2014, respectively. He is currently working toward the Ph.D. degree in the department of mechanical engineering, National University of Singapore. His research interests include autonomous driving, motion planning, and model predictive control.
Xiaotong Shen received the B.Eng. degree in mechanical engineering from Harbin Institute of Technology, Harbin, China, and the Ph.D. degree in mechanical engineering from National University of Singapore in 2016. He is currently a Postdoctoral Scholar with the Singapore-MIT Alliance for Research and Technology. His research interests include cooperative localization, cooperative mapping, and cooperative perception for autonomous vehicles.
You Hong Eng received the B.Eng. (Hons.) and M.Eng. degrees in mechanical engineering from the Nanyang Technological University, Singapore, in 2006 and 2008, and the Ph.D. degree in industrial and systems engineering from the National University of Singapore in 2015. From 2008 to 2015, he was a Research Associate with the Acoustic Research Laboratory (ARL), Tropical Marine Science Institute, where he worked on the identification, navigation and control of unmanned underwater vehicles. He is also interested in the development of new types of actuators for underwater applications. He then joined the Singapore-MIT Alliance for Research and Technology as a Postdoctoral Associate to work on the selfdriving vehicle.
Marcelo H. Ang, Jr. received his Ph.D. degree in Electrical Engineering from the University of Rochester, Rochester, New York, in 1988. His work experience includes heading the Technical Training Division of Intel’s Assembly and Test Facility in the Philippines, research positions at the East West Center in Hawaii and at the Massachusetts Institute of Technology, and a faculty position as an Assistant Professor of Electrical Engineering at the University of Rochester, New York. In 1989, Dr. Ang joined the Department of Mechanical Engineering of the National University of Singapore, where he is currently an Associate Professor, with a Joint Appointment at the Division of Engineering and Technology Management. He is also the Acting Director of the Advanced Robotics Centre. His research interests span the areas of robotics, mechatronics, and applications of intelligent systems methodologies.
Daniela Rus is the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. She serves as the Director of the Toyota-CSAIL Joint Research Center and is a member of the science advisory board of the Toyota Research Institute. Rus’ research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering and the American Academy of Arts and Sciences. She is the recipient of the 2017 Engelberger Robotics Award from the Robotics Industries Association. She earned her PhD in Computer Science from Cornell University.
Andersen, H., Shen, X., Eng, Y. H., Rus, D., and Ang, M. H., Jr. (December 1, 2017). "Connected Cooperative Control of Autonomous Vehicles During Unexpected Road Situations." ASME. Mechanical Engineering. December 2017; 139(12): S3–S7. https://doi.org/10.1115/1.2017-Dec-7
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