Abstract
This paper presents a robust road perception algorithm aimed to detect multiple lanes with temporal integration, one of the most important tasks in Advanced Driver Assistance Systems (ADAS). A new vision-based system is proposed, consisting on three parts: a line marker detection algorithm, a road line classification and a lane tracking integration. The goal is to detect the position, type and number of road lanes. The developed approach is characterized by the use of the bird’s eye view, road marks filtering based on gradient space algorithms, robust features descriptor for line classification, and road tracking based on time of life for each detected lane. The road detection is done according to the Spanish standard IC 8.2. The system was tested on the test platform IvvI 2.0.
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Acknowledgments
This work was supported by automation engineering department from de La Salle University, Bogotá-Colombia; Administrative Department of Science, Technology and Innovation (COLCIENCIAS), Bogotá-Colombia and the Spanish Government through the CICYT projects (TRA2013-48314-C3-1-R) and (TRA2011-29454-C03-02) and Comunidad de Madrid through SEGVAUTO_TRIES \((S2013/MIT-2713)\).
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Rodríguez-Garavito, C.H., Carmona-Fernández, J., de la Escalera, A., Armingol, J.M. (2015). Stereo Road Detection Based on Ground Plane. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_92
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DOI: https://doi.org/10.1007/978-3-319-27340-2_92
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