报告摘要

The presentation reviews selected application of AI technologies in Ford intelligent vehicle systems. The focus is on pragmatic machine learning and decision making methods and algorithms that have been already applied or are in the process of implementation in Ford products. Included is an overview of some machine learning applications to Vehicle Diagnostics & Calibration, Driver Modeling & Vehicle Personalization, Fuel Economy Optimization and Autonomous Driving. Lessons learned, on-going research, and future trends in integrating AI technologies within vehicle control and information systems as building blocks for smart mobility applications will be also discussed.

报告嘉宾

Dr. Dimitar Filev is Henry Ford Technical Fellow at the Ford Research & Innovation Center, Dearborn, Michigan. He is conducting research in computational intelligence, AI and intelligent control, and their applications to autonomous driving, vehicle systems, and automotive engineering. Dr. Filev has published over 200 journal articles and conference papers with over 14,000 citations, and holds over 100 US patents.  He is the recipient of the 2008 Norbert Wiener Award of the IEEE SMC Society and the 2015 Pioneer’s Award of the IEEE CIS Society. He received his PhD. degree in Electrical Engineering from the Czech Technical University in Prague in 1979.  Dr. Filev is a Fellow of the IEEE and a member of the NAE. He was president of the IEEE Systems, Man, & Cybernetics Society (2016-2017).