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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2008, Vol. 9 Issue (10): 1369-1372    DOI: 10.1631/jzus.A0820111
Electrical & Electronic Engineering     
Blind spot detection using vision for automotive applications
Miguel Ángel SOTELO, José BARRIGA
Department of Electronics, University of Alcalá, Alcalá de Henares 28871, Spain
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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.

Key words： Computer vision      Optical flow      Blind spot detection (BSD)      Intelligent vehicles     
Received: 12 February 2008     
CLC:  TP391.41  
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Miguel Ángel SOTELO
José BARRIGA
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Miguel Ángel SOTELO, José BARRIGA. Blind spot detection using vision for automotive applications. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(10): 1369-1372.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A0820111     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2008/V9/I10/1369

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