Study on Detection of Preceding Vehicles Based on Computer Vision

Peng He; Feng Gao

doi:10.4028/www.scientific.net/AMM.333-335.912

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Study on Detection of Preceding Vehicles Based on...

Study on Detection of Preceding Vehicles Based on Computer Vision

Abstract:

Detection of preceding vehicles is a critical step in automotive driver assistance systems aiming to alert a driver about driving environments and possible collision with other vehicles. This paper developed an algorithm of detecting preceding vehicles based on computer vision, which exploits synthetically the vertical edge, shadow underneath vehicle, horizontal edge and symmetry features. The experimental results indicate that this algorithm is effective and precise.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

912-915

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.912

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Online since:

July 2013

Authors:

Peng He, Feng Gao

Keywords:

Computer Vision, Edge, Shadow, Symmetry, Vehicle Detection

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References

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