一种基于视觉的车辆检测合作方法

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI:10.1109/ITSC.2001.948657

A. Bensrhair, M. Bertozzi, A. Broggi, P. Miché, S. Mousset, G. Toulminet

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引用次数: 121

摘要

本文介绍了两种不同的基于视觉的车辆检测系统，并对其集成进行了讨论。第一种方法是基于对车辆的特定模型的使用，主要依赖于单目视觉。相反，第二种系统基于立体视觉的使用，并允许对前者获得的粗糙结果进行细化。在ARGO实验车上对两种系统的初步集成进行了测试，并对可靠性和鲁棒性进行了评价。

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A cooperative approach to vision-based vehicle detection

In this paper two different vision based systems for vehicle detection are described and their integration discussed. The first approach is based on the use of a specific model for vehicles and mostly relies on monocular vision. Conversely, the second system is based on the use of stereo vision and allows to refine the coarse results obtained by the former. A preliminary integration of the two systems has been tested on the ARGO experimental vehicle and some remarks about reliability and robustness are also included.

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来源期刊

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)

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