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%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2013/07.05.14.27
%2 sid.inpe.br/sibgrapi/2013/07.05.14.27.43
%A Paula, Maurício Braga de,
%A Jung, Claudio Rosito,
%@affiliation Institute of Informatics - Federal University of Rio Grande do Sul and Mathematics and Statistics Department - Federal University of Pelotas
%@affiliation Institute of Informatics - Federal University of Rio Grande do Sul
%T Real-time detection and classification of road lane markings
%B Conference on Graphics, Patterns and Images, 26 (SIBGRAPI)
%D 2013
%E Boyer, Kim,
%E Hirata, Nina,
%E Nedel, Luciana,
%E Silva, Claudio,
%S Proceedings
%8 Aug. 5-8, 2013
%J Los Alamitos
%I IEEE Computer Society
%C Arequipa, Peru
%K lane detection, lane markings, onboard vehicular cameras, driver assistance system.
%X This paper presents a method for detection and recognition of road lane markings using an uncalibrated onboard camera. Initially, lane boundaries are detected based on a linear- parabolic model. Then, we build a simple model to represent pixels related to the pavement, and explore this model to estimate pixels related to lane markings. A set of features is computed based on the detected lane markings, and a cascade of binary classifiers is adopted to distinguish five types of markings: dashed, dashed-solid, solid-dashed, single-solid and double-solid. Experimental results show that the proposed method presents good classification results under a variety of situations (shadows, varying illumination, etc.).
%@language en
%3 114712_camera_ready-PID2846723.pdf


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