Title: Intelligent Mobility That Ensures People's Safety and Freedom of Movement, and Its Future Evolution

Abstract:

Currently, there are high expectations for automated driving technology to reduce traffic accidents and address the shortage of drivers for public transportation such as buses and taxis. The practical application of automated driving cars is beginning in various areas of the world. However, many automated driving systems face challenges, such as being limited to certain traffic environments, because they require high-definition maps, infrastructure systems, and AI support systems based on big data. Therefore, it appears that the expansion of its application area has slowed down. This presentation will introduce various approaches to realizing automated driving systems, as well as discuss future advancements utilizing the latest physical AI technologies.

Biography:

Yuji Yasui　Ph.D.

Fellow

Head of Intelligence and Safety Research

Head of Semiconductor Research

Honda R&D Co., Ltd

Research Center of Excellence

President of The Society of Instrument and Control Engineers

He joined Honda R&D Co., Ltd in 1994 and has been researched in areas including powertrain control for low-emission vehicles and HEVs, traction control for F-1 racing cars, transmission control and device control by using adaptive control, model predictive control, neural networks, etc. He realized the world’s first ULEV (Ultra Low Emission Vehicle) and SULEV (Super Ultra Low Emission Vehicle) in 1997 and 1999, respectively. Currently, he’s in charge of overall strategy for AI-based intelligent mobility and safety technologies, as well as head　of their advanced research fields.