1st International ICST Symposium on Vehicular Computing Systems

Research Article

Vehicle Detection at Night Based on Tail-Light Detection

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  • @INPROCEEDINGS{10.4108/ICST.ISVCS2008.3546,
        author={Ronan O'Malley and Martin Glavin and Edward Jones},
        title={Vehicle Detection at Night Based on Tail-Light Detection},
        proceedings={1st International ICST Symposium on Vehicular Computing Systems},
        proceedings_a={ISVCS},
        year={2010},
        month={5},
        keywords={vehicle detection forward collision advanced driver assist automotive image processing rear light detection},
        doi={10.4108/ICST.ISVCS2008.3546}
    }
    
  • Ronan O'Malley
    Martin Glavin
    Edward Jones
    Year: 2010
    Vehicle Detection at Night Based on Tail-Light Detection
    ISVCS
    ICST
    DOI: 10.4108/ICST.ISVCS2008.3546
Ronan O'Malley1,*, Martin Glavin1,*, Edward Jones1,*
  • 1: Connaught Automotive Research Group Department of Electronic Engineering National University of Ireland, Galway +353-91-492605
*Contact email: ronan.omalley@nuigalway.ie, martin.glavin@nuigalway.ie, edward.jones@nuigalway.ie

Abstract

Automated detection of vehicles in front can be used as a component of systems for forward collision avoidance and mitigation. When driving in dark conditions, vehicles in front are generally visible by their tail and brake lights. We present an algorithm that detects vehicles at night using a camera by searching for tail lights. Knowledge of colour, size, symmetry and position of rear facing vehicle lights, taken from relevant legislation, is exploited. We develop an image processing system that can reliably detect vehicles at different distances and in different weather and lighting conditions.