Realization of data-intensive paradigm for embedded systems and its application to vehicle control

2015 Fiscal Year Final Research Report

• Project/Area Number: 25240007
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Computer system
• Research Institution: Nagoya University
• Principal Investigator: Takada Hiroaki 名古屋大学, 情報科学研究科, 教授 (60216661)
• Co-Investigator(Kenkyū-buntansha): SATO KENYA 同志社大学, 理工学部, 教授 (20388044) ; NAKAMOTO YUKIKAZU 兵庫県立大学, 応用情報科学研究科, 教授 (70382273) ; HONDA SHINYA 名古屋大学, 情報科学研究科, 准教授 (20402406)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 組み込みシステム / ストリームデータ処理 / ダイナミックマップ / 知的交通システム（ITS） / クラウド

Outline of Final Research Achievements

Recently big data mining is the capability of extracting useful information from large datasets, which introduces a new analysis paradigm called data-intensive science. In this research we have tried to adopt this new paradigm into embedded systems, and to verify the usefulness of as safety driving support applications.
We developed the data base management system, for confirming real-time functions and availability, to realize dynamic map functions and performed the field experiment by using multiple automated vehicles, roadside sensors and cloud systems.

Free Research Field

組み込みシステム