On May 9th, 2019, invited by Assistant Professor Zhongkui Li in the Department of Mechanics and Engineering Science, College of Engineering (COE), Professor Jay A. Farrell from UC Riverside gave an invited talk on autonomous vehicles to the teachers and students of COE.
Assistant Professor Zhongkui Li introducing the guest
Jay A. Farrell is a Professor in the Department of Electrical and Computer Engineering at the University of California, Riverside. He currently serves as Vice President of the American Automatic Control Council. He is author of over 250 technical publications and three books, a Distinguished Member of IEEE CSS, a Fellow of AAAS, and a Fellow of the IEEE.
In the talk, Farrell introduced his team’s work in accurate and reliable state estimation for connected and autonomous highway vehicles.
Jay A. Farrell giving the talk
He pointed out that successful autonomous vehicle commercialization requires reliable state estimation for control and planning, while standard state estimation approaches are not sufficiently reliable, which can result in divergence of the state estimate, with potentially tragic consequences.
His presentation introduced a novel risk-averse performance-specified (RAPS) approach. RAPS modifies the optimization problem to select the least risky set of measurements that satisfies a user-defined performance constraint. RAPS is able to evaluate, and reconsider, outlier assumptions for all measurements within the temporal window.
After the presentation, the audience was much interested and put up many questions, which Farrell answered accordingly.
Professor Zhongkui Li earned his Ph.D. degree in Mechanics (Dynamics and Control) from COE at Peking University in 2010. After doing postdoctoral research, he came back to COE and serves as an assistant Professor. His research areas focus on cooperative control of multi-agent systems.