Annual Conference of KIPS (한국정보처리학회:학술대회논문집)
- 2015.10a
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- Pages.1408-1410
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- 2015
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Survey on Detection and Recognition of Road Marking
- Vokhidov, Husan (Dept. of Electronics and Electrical Engineering, Dongguk University) ;
- Hong, Hyung Gil (Dept. of Electronics and Electrical Engineering, Dongguk University) ;
- Hoang, Toan Minh (Dept. of Electronics and Electrical Engineering, Dongguk University) ;
- Kang, JinKyu (Dept. of Electronics and Electrical Engineering, Dongguk University) ;
- Park, Kang Ryoung (Dept. of Electronics and Electrical Engineering, Dongguk University) ;
- Cho, Hyeong Oh (LineTech., Ltd)
- Published : 2015.10.28
Abstract
Information about the painted road markings and other painted road objects play an important part in keeping safety of drivers. Some researchers have presented research approaches and dealt with road markings detection. In this paper, we present comprehensive survey of these techniques, and review some of them like a machine learning method, template matching method for road markings detection and classification, method of detection and classification of road markings using curve-based prototype fitting, signed edge signature method.