Reference TypeConference Proceedings
Citation KeyPaulaJung:2013:ReDeCl
Author1 Paula, Maurício Braga de
2 Jung, Claudio Rosito
Affiliation1 Institute of Informatics - Federal University of Rio Grande do Sul and Mathematics and Statistics Department - Federal University of Pelotas
2 Institute of Informatics - Federal University of Rio Grande do Sul
TitleReal-time detection and classification of road lane markings
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
Book TitleProceedings
DateAug. 5-8, 2013
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationArequipa, Peru
Keywordslane detection, lane markings, onboard vehicular cameras, driver assistance system.
AbstractThis 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.).
Tertiary TypeFull Paper
Size1046 KiB
Number of Files1
Target File114712_camera_ready-PID2846723.pdf
Last Update2013:
Metadata Last Update2020: administrator {D 2013}
Document Stagecompleted
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History2013-07-05 14:27:43 :: -> administrator ::
2020-02-19 03:09:22 :: administrator -> :: 2013
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Access Date2020, Nov. 25