Vol. 41,  No. 12, pp. 1950-1958, Dec.  2016


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  Abstract

Today, technique for precisely positioning vehicles is very important in C-ITS(Cooperative Intelligent Transport System), Self-Driving Car and other information technology relating to transportation. Though the most popular technology for vehicle positioning is the GPS, its accuracy is not reliable because of large delay caused by multipath effect, which is very bad for realtime traffic application. Therefore, in this paper, we proposed the Vision-Based High Accuracy Vehicle Positioning Technology. At the first step of proposed algorithm, the ROI is set up for road area and the vehicles detection. Then, center and four corners points of found vehicles on the road are determined. Lastly, these points are converted into aerial view map using homography matrix. By analyzing performance of algorithm, we find out that this technique has high accuracy with average error of result is less than about 20㎝ and the maximum value is not exceed 44.72㎝. In addition, it is confirmed that the process of this algorithm is fast enough for real-time positioning at the 22~25FPS.

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  Cite this article

[IEEE Style]

S. Jo and J. Lee, "," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 12, pp. 1950-1958, 2016. DOI: .

[ACM Style]

Sang-Il Jo and Jaesung Lee. 2016. . The Journal of Korean Institute of Communications and Information Sciences, 41, 12, (2016), 1950-1958. DOI: .

[KICS Style]

Sang-Il Jo and Jaesung Lee, "," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 12, pp. 1950-1958, 12. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880