Vision-Based Blind Spot Detection Using Optical Flow

Título	Vision-Based Blind Spot Detection Using Optical Flow
Tipo de publicación	Journal Article
Año de publicación	2007
Autores	Sotelo, MA, Barriga, J, Fernández, D, Parra, I, Naranjo, JE, Marron, M, Gavilán, M
Idioma de publicación	English
Revista académica	Lecture Notes in Computer Science
Volumen	4739
Páginas	1113-1118
Fecha de publicación	02/2007
Lugar de publicación	Berlin/Heideberg
Editorial	Springer-Verlag
Rank in category	62/71
JCR Category	Computer Science, Theory & Methods
Palabras clave	Blind zone, computer vision, intelligent vehicles, optical flow
JCR Impact Factor	0.402
ISSN	0302-9743
URL	http://www.springerlink.com/content/t372500g4j22/#section=379081&page=1&locus=0
DOI	10.1007/978-3-540-75867-9
Resumen	This paper describes a vision-based system for blind spot detection in intelligent vehicle applications. A camera is mounted in the lateral mirror of a car with the intention of visually detecting cars that can not be perceived by the vehicle driver since they are located in the so-called blind spot. The detection of cars in the blind spot is carried out using computer vision techniques, based on optical flow and data clustering, as described in the following lines.
Resumen	This paper describes a vision-based system for blind spot detection in intelligent vehicle applications. A camera is mounted in the lateral mirror of a car with the intention of visually detecting cars that can not be perceived by the vehicle driver since they are located in the so-called blind spot. The detection of cars in the blind spot is carried out using computer vision techniques, based on optical flow and data clustering, as described in the following lines.

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