Abstract
The paper is focused on a description of modern image processing methods in intelligent vehicles with emphasis on an LDWS (Lane Departure Warning System). The authors describe possible solutions for finding the horizontal road marking using a segmentation method based on a Hough’s transformation. In practical realisation the image data have been recorded in the. AVI format using a camera located near the inner rear mirror of the vehicle. A Sobel’s detector is used for the edge detection, which obtains a binary image containing pixels representing the borders of objects.
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References
European Strategies, http://ec.europa.eu/transport/strategies/2011_white_paper_en.htm (date of access: July 03, 2013)
Beňuš, J., Bubeníková, E., Franeková, M.: Effectiveness of digital signature schemes for use in vehicular communication within intelligent transportation system. In: TRANSCOM 2013, June 24-26, pp. 17–20 (2013) ISBN 978-80-554-0692-3
Hlaváč, V., Sedláček, M.: Signal and Image Processing (Zpracování signálu a obrazu), ČVUT Praha (2009)
ISO 17361: 2007, Intelligent transport systems – Lane departure warning systems – Performance requirements and test procedures (2007)
Hough, P.: Methodand Means for Recognizing Complex Patterns, U.S. Patent 3069654 (1962)
Zolotová, I., Karch, P.: Contribution to modification of Graph cut method and its implementation in the image segmentation. International Journal of Circuits, Systems and Signal Processing, 49–52 (2012) ISSN 19984464
Bubeníková, E., Muzikářová, Ľ., Halgaš, J.: Application of Image Processing in Intelligent Transport Systems. In: 11th IFAC/IEEE International Conference on Programmable Devices and Embedded Systems, Brno, pp. 53–56 (2012) ISBN 978-3-902823-21-2
Šimák, V., Hrbček, J., Pirník, R.: Traffic flow video-detection. In: International Conference SSKIVyšná Boca, p. 4 (February 2010) ISBN 978-80-227-3241-3
Mikulski, J.: Using telematics in transport. In: Mikulski, J. (ed.) TST 2010. CCIS, vol. 104, pp. 175–182. Springer, Heidelberg (2010)
Mikulski, J.: The possibility of using telematics in urban transportation. In: Mikulski, J. (ed.) TST 2011. CCIS, vol. 239, pp. 54–69. Springer, Heidelberg (2011)
Mikulski, J.: Telematic Technologies in Transportation. In: Janecki, R., Sierpiński, G. (eds.) Contemporary Transportation Systems. Selected Theoretical and Practical Problems. New Culture of mobility, pp. 131–143. Publishing House of the Silesian University of Technology. Monograph no. 324, Gliwice (2011)
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Bubeníková, E., Franeková, M., Holečko, P. (2013). Security Increasing Trends in Intelligent Transportation Systems Utilising Modern Image Processing Methods. In: Mikulski, J. (eds) Activities of Transport Telematics. TST 2013. Communications in Computer and Information Science, vol 395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41647-7_43
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DOI: https://doi.org/10.1007/978-3-642-41647-7_43
Publisher Name: Springer, Berlin, Heidelberg
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