한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2015년도 추계학술발표대회
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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)
- 발행 : 2015.10.28
초록
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.