Yutaka Sasaki received his B.E., M.Eng. and Ph.D. in Engineering from the University of Tsukuba in 1986, 1988, 2000, respectively. From 1988 to 2006, he was with the NTT laboratories, Japan. During 2004-2006, he served as the Department Head at Advanced Telecommunication Research Institute International (ATR), Kyoto, Japan. In 2006, he joined the School of Computer Science, the University of Manchester as a senior research fellow. In 2009, he moved to Toyota Technological Institute, Nagoya, Japan. Since then, he has been a Full Professor at the Department of Advanced Science and Technology, Faculty of Engineering. He is also the Director of the Research Center for Smart Vehicles. His research interests include driving ontology, natural language processing, and machine learning.
Semantic Technology and Level 5 Autonomous Driving
Autonomous driving is becoming more of reality day by day. Major car makers have announced to roll out self-driving cars around 2020. However, the prospective self-driving level is level 2 or 3 out of five levels. Levels 2 and 3 require human control or frequent intervention. On the other hand, levels 4 and 5 mean almost all the time and full-time automation, respectively. To achieve the level 5 self-driving, we need knowledge systems that are able to make decisions as humans do. In this respect, autonomous driving is a good application area of Semantic Technology. In this talk, Sasaki will present the recent advances of Semantic Technology in the self-driving field and his approach to Ontology-based self-driving at uncontrolled intersections.