A vision-based safety driver assistance system for motorcycles on a smartphone

Chiung Yao Fang, Wei Hong Hsu, Chung Wen Ma, Sei Wang Chen

研究成果: 書貢獻/報告類型會議貢獻

10 引文 斯高帕斯(Scopus)

摘要

In this study, we develop a vision-based safety driver assistance system (DAS) for use with motorcycles. DASs have been studied by researchers and developed by car companies as a tool to avoid traffic accidents. However, existing studies have seldom focused on motorcycle riders. In Taiwan, the prevention of motorcycle accidents cannot be ignored when developing safety DASs since they are involved in a significant percentage of traffic accidents. This paper proposes a safety DAS for motorcycles which can obtain an input sequence from a smartphone, detect the distance between the owner's motorcycle and an obstacle ahead, and output warning messages if necessary.

原文英語
主出版物標題2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面328-333
頁數6
ISBN(電子)9781479960781
DOIs
出版狀態已發佈 - 2014 十一月 14
事件2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, 中国
持續時間: 2014 十月 82014 十月 11

出版系列

名字2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

其他

其他2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
國家中国
城市Qingdao
期間14/10/814/10/11

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Mechanical Engineering

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  • 引用此

    Fang, C. Y., Hsu, W. H., Ma, C. W., & Chen, S. W. (2014). A vision-based safety driver assistance system for motorcycles on a smartphone. 於 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 (頁 328-333). [6957712] (2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2014.6957712