AffiliationUniversity of Bedfordshire
MetadataShow full item record
AbstractVehicle 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.
CitationBoonsim, N., Prakoonwit, S. (2014) 'An Algorithm for Accurate Taillight Detection at Night' International Journal of Computer Applications 100(12):31-35
PublisherFoundation of Computer Science
The following license files are associated with this item: