Hazard detection and cognition for an active driving assistance

Baptiste Rouzier, Toshiyuki Murakami

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

The driving assistance technology is an interesting method to increase the safety on the road. By helping the driver to avoid dangerous situations while letting him in charge of the behavior of the vehicle during normal conditions, this kind of system combines both the rapid reactions of an automated system and the human ability to react to unpredictable scenarios. The main demanding aspect of such an assistance is the capability to detect every encountered hazard and to correctly estimate both its nature and location in the space of the moving vehicle. For that purpose, this paper describes an implementation of an active driving assistant on an electric car, as well as the detection process of the dangers, their identifications and location estimations. Moreover to ensure a better detection coverage of the surrounding of the vehicle, a sharing process of the detected hazards between different systems in the controlled car environment is presented.

本文言語English
ホスト出版物のタイトル2016 IEEE 14th International Workshop on Advanced Motion Control, AMC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ340-345
ページ数6
ISBN(電子版)9781479984640
DOI
出版ステータスPublished - 2016 6月 20
イベント14th IEEE International Workshop on Advanced Motion Control, AMC 2016 - Auckland, New Zealand
継続期間: 2016 4月 222016 4月 24

出版物シリーズ

名前2016 IEEE 14th International Workshop on Advanced Motion Control, AMC 2016

Other

Other14th IEEE International Workshop on Advanced Motion Control, AMC 2016
国/地域New Zealand
CityAuckland
Period16/4/2216/4/24

ASJC Scopus subject areas

  • 制御およびシステム工学

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