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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages328-333
Number of pages6
ISBN (Electronic)9781479960781
DOIs
Publication statusPublished - 2014 Nov 14
Event2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China
Duration: 2014 Oct 82014 Oct 11

Publication series

Name2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Other

Other2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
CountryChina
CityQingdao
Period14/10/814/10/11

Fingerprint

Motorcycles
Smartphones
Highway accidents
Accidents
Railroad cars
Industry

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Mechanical Engineering

Cite this

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. In 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 (pp. 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

A vision-based safety driver assistance system for motorcycles on a smartphone. / Fang, Chiung Yao; Hsu, Wei Hong; Ma, Chung Wen; Chen, Sei Wang.

2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 328-333 6957712 (2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fang, CY, Hsu, WH, Ma, CW & Chen, SW 2014, A vision-based safety driver assistance system for motorcycles on a smartphone. in 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014., 6957712, 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 328-333, 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, 14/10/8. https://doi.org/10.1109/ITSC.2014.6957712
Fang CY, Hsu WH, Ma CW, Chen SW. A vision-based safety driver assistance system for motorcycles on a smartphone. In 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 328-333. 6957712. (2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014). https://doi.org/10.1109/ITSC.2014.6957712
Fang, Chiung Yao ; Hsu, Wei Hong ; Ma, Chung Wen ; Chen, Sei Wang. / A vision-based safety driver assistance system for motorcycles on a smartphone. 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 328-333 (2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014).
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