A vision-based system for the prevention of car collisions at night

Yin Yu Lu, Chin Chuan Han, Ming Chih Lu, Kuo Chin Fan

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Keeping a safe distance from the car in front of you is important in car accident prevention. This paper presents the use of a single CCD camera to measure the distance to the car in front at night. The distance from the car in front is estimated using the taillight, the license plate (LP), and distance measurement. The two taillights of a car are detected and extracted to be the salient features in estimation. Based on the proportionality of similar triangles, the distance between the CCD camera and the car in front is calculated. Since the width of the two taillights of a car depends on its type and shape, LPs are detected for accuracy enhancement. From the results, less processing time and high accuracy rates have been achieved using the proposed approach.

Original languageEnglish
Pages (from-to)117-127
Number of pages11
JournalMachine Vision and Applications
Volume22
Issue number1
DOIs
StatePublished - Jan 2011

Keywords

  • Car collision preventing
  • Distance measurement
  • License plate detection
  • Taillight detection

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