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A Study on Real Time Lane Change Assistant Method with Side-Mirror Cameras

Van Quang Nguyen 1, Duksun Yun 2, Woosung Che 3, Heung Seob Kim 4, and Kwangsuck Boo 4
1. Department of Mechanical and Automotive Engineering, Inje Univeristy, Gimhae, Gyeongnam, Korea
2. Intelligent System Research Lab., Korea Automotive Technology Institute (KATECH), Cheonan, Korea
3. Department of Mechatronics Engineering, Kyungsung University, Busan, Korea
4. High Safety Vehicle Core Technology Research Center, Inje Univeristy, Gimhae, Gyeongnam, Korea Korea
Abstract—Vehicle detection in real-time from rear-side of a host vehicle is one of important problems in Lane Change Assistance. In this paper, we propose a vision system for real-time vehicle and lane detection and tracking using two cameras, which are equipped under the wing mirror both left and right side. From the input images, EDLines algorithm is used for line segment detection in real-time. According to the achieved data, lane detection is developed by analyzing angles of the line segments, and area between two lanes on the same side of vehicle is defined. In the vehicle detection, based on the brightness and darkness between vehicle and road, vehicle is detected in real-time using the simple algorithm. Finally, kalman filter is used in vehicle tracking for vehicle information such as distance or speed.

Index Terms—lane detection, vanishing point detection, vehicle detection, vehicle tracking

Cite: Van Quang Nguyen, Duksun Yun, Woosung Che, Heung Seob Kim, and Kwangsuck Boo, "A Study on Real Time Lane Change Assistant Method with Side-Mirror Cameras," Jounal of Automation and Control Engineering, Vol. 4, No. 6, pp. 376-382, December, 2016. doi: 10.18178/joace.4.6.376-382
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