Title: AI-based Automated Driving and Driver-assistance Systems Aiming for Zero Traffic Collision Fatalities and Freedom of Mobility
Abstract:
Many traffic users worldwide long to move safely at will in their daily life. However, against their will, many traffic accidents occur because of difficulties in driving situation, cognitive decline due to aging, inattentive driving, etc. Automated driving and driver-assistance systems have significantly evolved to reduce traffic accidents and to realize freedom of mobility. When the driving area in which automated driving and driver-assistance systems can be executed are expanded from highway to local roads in urban and suburb areas, the systems have to understand driving scenes, predict behaviors of traffic participants and realize cooperative behavior with them. The application of AI and advanced control theories are expected in order to meet these requirements. In this talk, the current trend and future evolution of automated driving and driver-assistance systems will be introduced.
Biography:
Dr. Yuji Yasui received the B.E. and M.E. degrees in mechanical engineering from Tokyo University of Science, Japan, in 1992 and in 1994, and the Ph.D degree from Sophia University, Japan, in 2012. He joined Honda R&D Co., Ltd in 1994 and has been researched powertrain control for low-emission vehicles and HEVs, traction control for F-1 racing car, transmission control and device control by using adaptive control, model predictive control, neural network, etc. He is currently an executive chief engineer in a research group for automated driving and advanced driving assistance system using AI and advanced control technologies.
