- Volume 14 Issue 8
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Design of Curve Road Detection System by Convergence of Sensor
센서 융합에 의한 곡선차선 검출 시스템 설계
- Kim, Gea-Hee (Department of Computer Science & Engineering, Gyeongnam National University of Science and Technology) ;
- Jeong, Seon-Mi (Department of Computer Science & Engineering, Gyeongnam National University of Science and Technology) ;
- Mun, Hyung-Jin (Division of Information and Communication Engineering, Baekseok University) ;
- Kim, Chang-Geun (Department of Computer Science & Engineering, Gyeongnam National University of Science and Technology)
- Received : 2016.07.01
- Accepted : 2016.08.20
- Published : 2016.08.28
Regarding the research on lane recognition, continuous studies have been in progress for vehicles to navigate autonomously and to prevent traffic accidents, and lane recognition and detection have remarkably developed as different algorithms have appeared recently. Those studies were based on vision system and the recognition rate was improved. However, in case of driving at night or in rain, the recognition rate has not met the level at which it is satisfactory. Improving the weakness of the vision system-based lane recognition and detection, applying sensor convergence technology for the response after accident happened, among studies on lane detection, the study on the curve road detection was conducted. It proceeded to study on the curve road detection among studies on the lane recognition. In terms of the road detection, not only a straight road but also a curve road should be detected and it can be used in investigation on traffic accidents. Setting the threshold value of curvature from 0.001 to 0.06 showing the degree of the curve, it presented that it is able to compute the curve road.
Supported by : Gyeongnam National University of Science and Technology
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