Real-Time Lane Detection and Rear-End Collision Warning System on a Mobile Computing Platform

Samuel Jia Wei Tang, Kok Yew Ng, Boon How Khoo, Jussi Parkkinen

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

9 Citations (Scopus)

Abstract

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 rearend 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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages563-568
Number of pages698
DOIs
Publication statusPublished - 24 Sep 2015
Event2015 IEEE 39th Annual International Computers, Software & Applications Conference -
Duration: 17 Apr 2015 → …

Conference

Conference2015 IEEE 39th Annual International Computers, Software & Applications Conference
Period17/04/15 → …

Fingerprint

Mobile computing
Alarm systems
Smartphones
Cameras
Security systems
Accidents
Image processing
Railroad cars
Acoustics
Sensors
Costs

Keywords

  • mobile application
  • lane detection
  • vehicle detection
  • distance estimation
  • real-time

Cite this

Tang, S. J. W., Ng, K. Y., Khoo, B. H., & Parkkinen, J. (2015). Real-Time Lane Detection and Rear-End Collision Warning System on a Mobile Computing Platform. In Unknown Host Publication (pp. 563-568) https://doi.org/10.1109/COMPSAC.2015.171
Tang, Samuel Jia Wei ; Ng, Kok Yew ; Khoo, Boon How ; Parkkinen, Jussi. / Real-Time Lane Detection and Rear-End Collision Warning System on a Mobile Computing Platform. Unknown Host Publication. 2015. pp. 563-568
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abstract = "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 rearend 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.",
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author = "Tang, {Samuel Jia Wei} and Ng, {Kok Yew} and Khoo, {Boon How} and Jussi Parkkinen",
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Tang, SJW, Ng, KY, Khoo, BH & Parkkinen, J 2015, Real-Time Lane Detection and Rear-End Collision Warning System on a Mobile Computing Platform. in Unknown Host Publication. pp. 563-568, 2015 IEEE 39th Annual International Computers, Software & Applications Conference, 17/04/15. https://doi.org/10.1109/COMPSAC.2015.171

Real-Time Lane Detection and Rear-End Collision Warning System on a Mobile Computing Platform. / Tang, Samuel Jia Wei; Ng, Kok Yew; Khoo, Boon How; Parkkinen, Jussi.

Unknown Host Publication. 2015. p. 563-568.

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

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