Realtime On-Road Vehicle Detection Approach Based on Cascaded Structure

Abstract:

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Realtime on-road vehicle detection is a key technology in many transportation applications, such as driver assistance, autonomous driving and active safety. A vehicle detection algorithm based on cascaded structure is introduced. Haar-like features are used to built model in this application, and GAB algorithm is chosen to train the strong classifiers. Then, the real-time on-road vehicle classifier based on cascaded structure is constructed by combining the strong classifiers. Experimental results show that the cascaded classifier is excellent in both detection accuracy and computational efficiency, which ensures its application to collision warning system.

Info:

Periodical:

Edited by:

Han Zhao

Pages:

2429-2432

DOI:

10.4028/www.scientific.net/AMM.130-134.2429

Citation:

L. X. Zhang et al., "Realtime On-Road Vehicle Detection Approach Based on Cascaded Structure", Applied Mechanics and Materials, Vols. 130-134, pp. 2429-2432, 2012

Online since:

October 2011

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Price:

$35.00

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