Abstract
This paper describes a vision-based system for blind spot detection (BSD) in intelligent vehicle applications. A camera is mounted in the lateral mirror of a car with the intention of visually detecting cars that are located in the so-called blind spot and cannot be perceived by the vehicle driver. The detection of cars in the blind spot is carried out using computer vision techniques, based on optical flow and a double-stage data clustering technique for robust vehicle detection.
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References
Blanc, N., Steux, B., 2007. LaRASideCam: A Fast and Robust Vision-based Blind Spot Detection System. Proc. IEEE Intelligent Vehicles Symp., Istanbul, Turkey, p.480–485.
Giachetti, A., Campani, M., Torre, V., 1998. The use of optical flow for road navigation. IEEE Trans. on Rob. Autom., 14(1):34–48. [doi:10.1109/70.660838]
Kailunailen, J., 2002. Clustering Algorithms: Basics and Visualization. T61.195, Special Assignment 1. Laboratory of Computer and Information Science, Helsinki University of Technology.
Mobileye, 2007. Blind Spot / Lane Change by Mobileye. Http://www.mobileye-vision.com
Sotelo, M.A., Nuevo, J., Ocaña, M., Bergasa, L.M., 2005. A monocular solution to vision-based ACC in road vehicles. LNCS, 3643:507–512. [doi:10.1007/11556985_65]
Volvo, 2007. Blind Spot Information System (BLIS) by Volvo. Http://www.volvo.com
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Sotelo, M.Á., Barriga, J. Blind spot detection using vision for automotive applications. J. Zhejiang Univ. Sci. A 9, 1369–1372 (2008). https://doi.org/10.1631/jzus.A0820111
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DOI: https://doi.org/10.1631/jzus.A0820111