Abstract
Modern collision avoidance systems implemented into the Intelligent Transportation Systems work on the base of the image information analysis. For the control of unintentional departure from the lane, the vehicles in Cooperative-intelligent Transportation Systems use surveillance systems—Lane Departure Warning. A very important parameter of these systems is the reliability of the method of digital image information processing, which depends on the choice of the optimum algorithm for the detection of road markings in different light conditions. The parameters of image processing algorithms should be set on the base of software simulation with real collected traffic data. The contribution is focused on finding and testing effective methods of digital image processing algorithms to monitoring the crossing of lane with a focus on reliability evaluation.
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This paper has been supported by the Educational Grant Agency of the Slovak Republic (KEGA) Number 008ŽU-4/2015: Innovation of HW and SW tools and methods of laboratory education focused on safety aspects of ICT within safety critical applications of processes control.
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Bubeníková, E., Franeková, M., Kanáliková, A. (2017). Modern Methods of Image Processing in Safety-Critical Applications within Intelligent Transportation System. In: Mikulski, J. (eds) Smart Solutions in Today’s Transport. TST 2017. Communications in Computer and Information Science, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-319-66251-0_4
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