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An algorithm for accurate taillight detection at night

  • Noppakun Boonsim
    ,
  • Simant Prakoonwit
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

Vehicle detection is an important process of many advance driver assistance system (ADAS) such as forward collision avoidance, Time to collision (TTC) and Intelligence headlight control (IHC). This paper presents a new algorithm to detect a vehicle ahead by using taillight pair. First, the proposed method extracts taillight candidate regions by filtering taillight colour regions and applying morphological operations. Second, pairing each candidates and pair symmetry analysis steps are implemented in order to have taillight positions. The aim of this work is to improve the accuracy of taillight detection at night with many bright spot candidates from streetlamps and other factors from complex scenes. Experiments on still images dataset show that the proposed algorithm can improve the taillight detection accuracy rate and robust under limited light images.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 31-35

Journal (Volume, Issue Number)

International Journal of Computer Applications (Volume 100, Issue 12)

Publication milestones

  • Published - 01/08/2014

Publication status

Published - 01/08/2014

ISSN

0975-8887

External Publication IDs

  • handle.net: 10547/333824

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