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Real-Time Lane Detection and Rear-End Collision Warning System On A Mobile Computing Platform
Monash University, Australia.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering. Monash University, Malaysia.
Monash University, Malaysia.
University of Eastern Finland, Finland.
2015 (English)In: 39TH ANNUAL IEEE COMPUTERS, SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC 2015), VOL 2, IEEE , 2015, p. 563-568Conference paper, Published paper (Refereed)
Abstract [en]

Accident prevention systems have recently been a part of many modern cars to reduce injuries and casualties on the road. However, the high cost of components and equipment have limited such safety systems to higher-end and luxury vehicles. This paper proposes an economical method of using a smartphone application for real-time lane detection and rear-end collision warning system for drivers on the road. The Android-based application uses image-processing algorithms coupled with the monoscopic camera on the smartphone as the main sensor to perform lane and vehicle detections. The novelty of this work lies in the use of the monocular vision of the camera to estimate the distance with the vehicle up ahead. The system is able to distinguish unintentional lane departure and if the driver is traveling too close to the vehicle ahead. An acoustic warning will notify the driver of a potential accident.

Place, publisher, year, edition, pages
IEEE , 2015. p. 563-568
Series
Proceedings International Computer Software and Applications Conference, ISSN 0730-3157
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-133554DOI: 10.1109/COMPSAC.2015.171ISI: 000380584300076ISBN: 978-1-4673-6563-5 (print)OAI: oai:DiVA.org:liu-133554DiVA, id: diva2:1060839
Conference
39th IEEE Annual International Computer Software and Applications Conference Workshops (COMPSAC)
Available from: 2016-12-30 Created: 2016-12-29 Last updated: 2018-01-13

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Total: 69 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf