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http://dx.doi.org/10.12815/kits.2017.16.1.186

The Tunnel Lane Positioning System of a Autonomous Vehicle in the LED Lighting  

Jeong, Jae hoon (Dept. of Control & Instrumentation Eng., Univ. of Pukyong National)
Lee, Dong heon (Dept. of Control & Instrumentation Eng., Univ. of Pukyong National)
Byun, Gi-sig (Dept. of Control & Instrumentation Eng., Univ. of Pukyong National)
Cho, Hyung rae (Dept. of Radio Communication Eng., Univ. of Korea Maritime and Ocean)
Cho, Yoon ho (Company. of Hyundai SDI)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.1, 2017 , pp. 186-195 More about this Journal
Abstract
Recently, autonomous vehicles have been studied actively. There are various technologies such as ITS, Connected Car, V2X and ADAS in order to realize such autonomous driving. Among these technologies, it is particularly important to recognize where the vehicle is on the road in order to change the lane and drive to the destination. Generally, it is done through GPS and camera image processing. However, there are limitations on the reliability of the positioning due to shaded areas such as tunnels in the case of GPS, and there are limitations in recognition and positioning according to the state of the road lane and the surrounding environment when performing the camera image processing. In this paper, we propose that LED lights should be installed for autonomous vehicles in tunnels which are shaded area of the GPS. In this paper, we show that it is possible to measure the position of the current lane of the autonomous vehicle by analyzing the color temperature after constructing the tunnel LED lighting simulation environment which illuminates light of different color temperature by lane. Based on the above, this paper proposes a lane positioning technique using tunnel LED lights.
Keywords
Autonomous Vehicle; Lane Positioning; Color Temperature; Chromaticity;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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