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http://dx.doi.org/10.9717/kmms.2012.15.8.996

Nearby Vehicle Detection in the Adjacent Lane using In-vehicle Front View Camera  

Baek, Yeul-Min (한양대학교 전자컴퓨터통신공학과)
Lee, Gwang-Gook (SK텔레콤 성장기술원)
Kim, Whoi-Yul (한양대학교 전자컴퓨터통신공학과)
Publication Information
Journal of Korea Multimedia Society / v.15, no.8, 2012 , pp. 996-1003 More about this Journal
Abstract
We present a nearby vehicle detection method in the adjacent lane using in-vehicle front view camera. Nearby vehicles in adjacent lanes show various appearances according to their relative positions to the host vehicle. Therefore, most conventional methods use motion information for detecting nearby vehicles in adjacent lanes. However, these methods can only detect overtaking vehicles which have faster speed than the host vehicle. To solve this problem, we use the feature of regions where nearby vehicle can appear. Consequently, our method cannot only detect nearby overtaking vehicles but also stationary and same speed vehicles in adjacent lanes. In our experiment, we validated our method through various whether, road conditions and real-time implementation.
Keywords
Vehicle Detection; Overtaking Vehicle; Advanced Driver Assistance System;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Z. Sun, G. Bebis, and R. Miller, "On-Road Vehicle Detection: A Review," IEEE Trans. Pattern Analysis and Machine Vision, Vol. 28, No. 5, pp. 694-711, 2006.   DOI   ScienceOn
2 M. Betke, E. Haritaoglu, and L.S. Davis, "Real-time Multiple Vehicle Detection and Tracking from a Moving Vehicle," Machine Vision and Applications, Vol. 12, No. 2, pp. 69- 83, 2000.   DOI   ScienceOn
3 Z. Li, W. Chen, and H. He, "Detection of Passing Vehicle on the Highway," Proc. IEEE Int'l Conf. Vehicular Electronics and Safety ICVES, pp. 1-5, 2007.
4 J.D. Alonso, E.R. Vidal, A. Rotter, and M. Műhllenberg, "Lane-Change Decision Aid System based on Motion-driven Vehicle Tracking," IEEE Trans. Vehicular Technology, Vol 57, No 5, pp. 2736-2746, 2008.   DOI
5 Y. Zhu, D. Comaniciu, and M. Pellkofer, "Detection of Passing Vehicle on the Highway," Proc. IEEE Int'l Conf. Intelligent Transportation Systems, pp. 564-569, 2004.
6 C. Hilario, J.M. Collado, J.M. Armingol, and A. de la Escalera, "Visual Perception and Tracking of Vehicles for Driver Assistance Systems," Proc. IEEE Int'l Conf. Intelligent Transportation Systems, pp. 564-569, 2004.
7 D.G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," International Journal of Computer Vision, Vol. 60, No. 2, pp. 91-110, 2004.   DOI   ScienceOn
8 P. Viola and M. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Feature," Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, pp. 564-569, 2001.
9 J. Phillips, H. Moon, S. Rizvi, and J. Rauss, "The Feret Evaluation Methodology for Face- Recognition Algorithms," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, No. 10, pp. 1090-1104, 2000.   DOI   ScienceOn
10 CREDS: Call for Real-Time Event Detection Soultions (CREDS) for Enhanced Security and Safety in Public Transportation, 2005.
11 F. Peng, C. Liu, and X. Ding, "Camera Calibration And Near-view Vehicle Speed Estimation," Proc. SPIE, Vol. 6813, pp. 68314-1-68314-10, 2008.
12 M. Bellino, Y.L. de Meneses, S. Kolski, and J. Jacot, "Calibration of an Embedded Camera for Driver-Assistant Systems," Proc. IEEE Int'l Conf. Intelligent Transportation Systems, pp. 354-359, 2005.
13 한상훈, 조형제, "그림자 정보를 이용한 HSV 컬러 모델 기반의 전방 차량 검출 및 차선 정보검출," 멀티미디어학회논문지, 제5권, 제2호, pp. 176-190, 2002.   과학기술학회마을