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

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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.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan

    Yin-Yu Lu & Kuo-Chin Fan

  2. Department of Computer Science and Information Engineering, National United University, Miaoli, Taiwan

    Chin-Chuan Han

  3. Department of Electronic Engineering, St. John’s University, Tam-Sui, Taiwan

    Ming-Chih Lu

  4. Department of Informatics, Fo-Guang University, Ilan, Taiwan

    Kuo-Chin Fan

Authors
  1. Yin-Yu Lu
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  2. Chin-Chuan Han
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  3. Ming-Chih Lu
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  4. Kuo-Chin Fan
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Correspondence to Chin-Chuan Han.

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Lu, YY., Han, CC., Lu, MC. et al. A vision-based system for the prevention of car collisions at night. Machine Vision and Applications 22, 117–127 (2011). https://doi.org/10.1007/s00138-009-0239-2

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  • DOI: https://doi.org/10.1007/s00138-009-0239-2

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