Work place: UNICEN, Tandil, 7000, Argentina
E-mail: mtosini@exa.unicen.edu.ar
Website:
Research Interests: Image Compression, Image Manipulation, Hardware Security, Image Processing
Biography
Marcelo A. Tosini received his BS in System Engineering from the National University of the Center of Buenos Aires Province (UNICEN) in 1991 and MS degree in System Engineering from UNICEN in 2002. He is currently adjunct professor in the Department of Computing and System in UNICEN and associate professor in FASTA University, Argentina. His research interests are in: Image processing, hardware arithmetic, processor architectures and programmable logic.
By Lucia Vanesa Araya Natacha Espada Marcelo Tosini Lucas Leiva
DOI: https://doi.org/10.5815/ijitcs.2018.08.06, Pub. Date: 8 Aug. 2018
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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