Description

Digital society has been rapidly developing due to Internet of Things (IoT) that connect all things through Internet technologies. Information sharing and control include many issues and create various services, which provides solutions and affluence for people and society. Information on the activities of various people and services has been attracting attention as important assets in various fields.

On the other hand, in the field of mobility, information uses of service functions for urban life and human mobility have also been expected with the accelerated developments of autonomous due to Artificial Intelligence (AI) and high computer performances, the spread of Mobility as a Service (MaaS), and the construction of smart cities. Therefore, we would like to discuss the state-of-the-art mobility systems in this workshop. The main topics of this workshop are as follows: information collection and analysis, personalization, cooperation with environmental and traffic information, modelling of human mobility and social activities, security and use of personal information, high safety mobility system utilizing the information, and so on.

The purpose of this workshop is to discuss the IoT based mobility systems related with information collection and analysis, personalization, cooperation with environmental and traffic information, modeling of human mobilities and social activities, security and use of personal information, high safety mobility system utilizing the information. This session welcomes fundamental research on the information sharing and control techniques from the viewpoints of the mobility and IoT. In addition, this session also welcomes research on the applied topic for discussing the future direction of new mobility.

Prediction and control of traffic flow
Prevention of traffic accident
Behavior prediction of pedestrian
Pedestrian protection system
Driver distraction estimation and communication of surrounding vehicles
Probe information and safety
Preventive safety using mutual information sharing
Congestion relief model
Vehicle behavior analysis and mobility service
Human behavior model and service
Combination optimization of transportation and efficiency
Automatic delivery of on-demand autonomous driving
Mixed shipping system and service
Personal information protection and mobility
Autonomous driving service and cyber-attack protection
Traffic flow control for prevention of air pollution
Human mobility and service cooperation
Cooperation between local industry IoT and distribution IoT
Environmental sensing information sharing and application
Semantic segmentation for Dynamic Map
Deep reinforcement learning based unsafe behavior estimation
Explainable representation learning for driving scene recognition
End-to-end learning for autonomous driving
Communication based high accurate localization
Infrastructure sensor and vehicle cooperation
Optimization for battery system monitoring (Driving environment, Area and battery performance)

Important Dates:

Paper submission: ~~13 June 2022~~ August 1st, 2022
Acceptance Notification: ~~8 July 2022~~ August 16th, 2022
Camera-Ready Paper Submission Deadline: ~~31 July 2022~~ August 31st, 2022

Paper should be six (6) pages in length. The conference allows up to two additional pages for a maximum length of eight (8) pages with payment of extra page charges once the paper has been accepted.

Once the paper you submitted has been reviewed and accepted you will be notified about uploading a final version of the paper for publication in the Proceedings and IEEE Xplore.

Chairs

Mr. Yoshiaki Sakagami, National Institute of Information and Communications Technology

Dr. Toshiya Arakawa, Nippon Institute of Technology

Dr. Naoyuki Kubota, Tokyo Metropolitan University

Dr. Yuichiro Toda, Okayama University

Speaker

Mr. Jun Ohashi, Chief Engineer, Connected Solution Development Division, Software Defined Mobility Development Supervisory Unit, Business Development Operations, Honda Motor CO.LTD.

After receiving MS degree from Nara Institute of Science and Technology, he started his career at Toshiba as a software engineer to develop advanced features for cellular phone, and expanding his career to a data scientist. He experienced various projects from developing prediction technology for healthcare devices to big data analysis for industrial field. At Honda Motor, he launched new R&D project as a project leader with an aim to personalize mobilities by analysis technologies, especially machine learning algorithms utilizing floating car data. He now leads a development group of data scientists to solve social issues utilizing big data from mobilities.

Technical Programme

Organized on – 1^st November, 2022 at 13:00 – 15:00 JPT

Time (JPT)		Description
13:00	13:10	Welcome and Introduction
13:10	14:00	Invited talk Challenge to solve social issues by analyzing floating car data Jun Ohashi Honda Motor CO.LTD
14:00	14:20	Data Augmentation for Edge-AI On-chip Learning Naoto Yoshida: MegaChips Corporation, Hina Miura: MegaChips Corporation, Takashi Matsutani: MegaChips Corporation, Hideto Motomura: MegaChips Corporation
14:20	14:40	Topological Twin for Mobility Support Robots Fernando Ardilla: Tokyo Metropolitan University, Azhar Aulia Saputra: Tokyo Metropolitan University, Adnan Rachmat Anom: Tokyo Metropolitan University, Naoki Doteguchi: Tokyo Metropolitan University, Kohei Oshio: Tokyo Metropolitan University, Takenori Obo: Tokyo Metropolitan University, Naoyuki Kubota: Tokyo Metropolitan University
14:40	15:00	Simultaneous Localization and Mapping for IoT Technologies Yuichiro Toda: Okayama University

If you have any questions, please contact Dr. Yuichiro: ytoda@okayama-u.ac.jp