Special Session [The timetable is now available "HERE".]

INDEX	Special Session	DATE
SS-1	International Collaborative Research on Automated Vehicles	Tuesday, October 17 13:30-15:20
SS-2	Naturalistic Driving Data Acquisition for Smart Mobility Application	Tuesday, October 17 16:00-17:20
SS-3	QZSS: Quasi-Zenith Satellite System	Wednesday, October 18 10:30-12:00

Special Session details [The timetable is now available "HERE".]

SS-1: International Collaborative Research on Automated Vehicles

Date: Tuesday, October 17 13:30-15:20

Abstract:
Automated and Connected Vehicle technologies CV technologies are viewed as the next generation of Intelligent Transportation Systems that hold promise to provide substantial improvements in safety, mobility, and the environment. The development of Connected and Automated vehicles have gaining momentum. Substantial public and private sector resources are now being invested in Europe, Asia, Europe and the United States, and elsewhere in the world. In this increasingly globalized world, scientists, engineers and innovators must be able to connect, collaborate and create with counterparts around the world. This session discuss about a few new initiatives involving international collaborative research on autonomous driving, covering the areas of trajectory planning, sensing and localization and functional safety.

Organizer:
Wei-Bin Zhang, California PATH Program, University of California at Berkeley

Panelist and topics:

• "Research on Trajectory Planning under the Chair Drive for All"
    Arnaud de La Fortelle, Mines ParisTech
• "Functional Safety of Automated Driving Systems and AI/Machine Learning - A Dialogue"
    Ching-yao Chan, California PATH Program, University of California at Berkeley
• "V2V Cooperation and Interaction with VRUs in the BRAVE and AutoDrive Projects"
    Miguel A. Sotelo Vázquez, University of Alcalá
• "Integrated environmental sensing and localization"
    Shunsuke Kamijo, the University of Tokyo

SS-2: Naturalistic Driving Data Acquisition for Smart Mobility Application

Date: Tuesday, October 17 16:00-17:20

Abstract:
Recently,naturalistic driving data becomes more important roles, not only for investigation of the misbehavior of drivers to develop advanced driver assistant systems (ADAS), but also for development of artificial intelligence for smart mobility related fields. So far, deep learning of big data have been used for interpreting sensor and image data of other vehicles, pedestrians, bicycles, and so on. Similar learning approach can be applicable to judgement, actions, and evaluations by collecting and learning many traffic situations and drivers' actions for each situation. This special session introduce latest research activities of naturalistic driving study and the platform development for the self driving cars and other applications.

Organizer: Hirofumi Aoki, Vice Research Leader, Nagoya COI, Institute of Innovation for Future Society, Nagoya University

Chair:
Yoshiki Ninomiya, Institutes of Innovation for Future Society, Nagoya University
Hirofumi Aoki, Institutes of Innovation for Future Society, Nagoya University

Panelist and topics:

• "Naturalistic Driving Studies for Driver Assistance and Autonomous Driving: Team LISA perspective"
    Mohan M. Trivedi, Laboratory for Intelligent and Safe Automobiles, University of California, San Diego
    Kevan Yuen, Laboratory for Intelligent and Safe Automobiles, University of California, San Diego
    Akshay Rangesh, Laboratory for Intelligent and Safe Automobiles, University of California, San Diego
  
• "Developing Driving Behavior Database for Naturalistic Driving Study"
    Chiyomi Miyajima, Institutes of Innovation for Future Society, Nagoya University
    Kazuya Takeda, Institutes of Innovation for Future Society, Nagoya University
  
• "Automan: An Open Service Platform for Autonomous Driving AI"
    Shinpei Kato, University of Tokyo
    Kazumasa Sakiyama, University of Tokyo
    Yuki Tsuji, University of Tokyo
    Shunya Seiya, University of Tokyo
    Daisuke Fukutomi, University of Tokyo
    Yuki Iida, University of Tokyo
  
• "An Open Platform for Driving and Lifelog Data Collection and Utilization"
    Hirofumi Aoki, Institutes of Innovation for Future Society, Nagoya University
    Takahiro Tanaka, Institutes of Innovation for Future Society, Nagoya University
    Masayuki Shimizu, Institutes of Innovation for Future Society, Nagoya University
    Taisuke Sato, Kurusugawa Computer Inc.
    Yuki Umemoto, Arc Co., Ltd.
  

SS-3: QZSS: Quasi-Zenith Satellite System

Date: Wednesday, October 18 10:30-12:00

Abstract:
This special session focuses the recent developments in QZSS, Quasi-Zenith Satellite System. The QZSS is a regional navigation satellite system which cooperates with GPS and improve position accuracy. Presentations from the government and contractors will cover the latest program status, launch of navigation satellites, navigation performance, payload design/characteristics, technical validation results, and application development activities. Attending the special session, you will be fully informed about the QZSS to be operational in 2018.

Organizer:
Takeyasu Sakai, Electronic Navigation Reseach Institute National Institute of Maritime, Port and Aviation Technology, Japan

Chair:
Nobuyuki Kubo, Tokyo University of Marine Science and Technology, Japan

Panelist and topics:

• "The Latest Status of QZSS: Service, System, Applications"
    Satoshi Kogure, National Space Policy Secretariat of Japan
• "High Accurate Centimeter-level Positioning Solutions using Quasi-Zenith Satellite System"
    Ryoichiro Yasumitsu, Mitsubishi Electric Corp.
• "Japanese SBAS Service: Status and Future Plan"
    Masashi Giho, Civil Aviation Bureau, Ministry of Land, Infrastructure, Transport and Tourism
• "Some QZSS Demonstrations in Japan"
    Yoshiyuki Murai, NEC Corp.