Simple detection and classification of road lanes based on image processing

Simple detection and classification of road lanes based on image processing

Автор: Lucia Vanesa Araya, Natacha Espada, Marcelo Tosini, Lucas Leiva

Журнал: International Journal of Information Technology and Computer Science @ijitcs

Статья в выпуске: 8 Vol. 10, 2018 года.

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Road accidents, besides being one of the main causes of mortality, have an economic impact on vehicle owners. Several conditions as driver imprudence, road conditions and obstacles are the main factor that will cause accidents. The most important automotive industries are incorporating technology to reduce risk in vehicles. In this way, lane detection systems have important attention, because from this data is possible to determine risk situations such as presence of obstacles, incorrect lane changes or lane departures. This paper proposes a technique for lane detection, based on image processing, which allows identifying the position of lateral lanes and their type. The method is composed of four stages: edge enhancement, potential lanes detection, post-processing and color lane estimation. The method was proved using image dataset and video captures over 12.000 frames. The accuracy of the system was of 91.9%.

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Lane detection, image processing, video processing

Короткий адрес: https://sciup.org/15016288

IDR: 15016288   |   DOI: 10.5815/ijitcs.2018.08.06

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