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http://dx.doi.org/10.14400/JDC.2016.14.8.253

Design of Curve Road Detection System by Convergence of Sensor  

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)
Publication Information
Journal of Digital Convergence / v.14, no.8, 2016 , pp. 253-259 More about this Journal
Abstract
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.
Keywords
Convergence of Sensor; Curve Road Detection; Orientation Sensor; Accelerometer Sensor; Curvature;
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