A cooperative approach to vision-based vehicle detection

被引：56

作者：

Bensrhair, A ^{[1
]}

Bertozzi, M ^{[1
]}

Broggi, A ^{[1
]}

Miché, P ^{[1
]}

Mousset, S ^{[1
]}

Toulminet, G ^{[1
]}

机构：

[1] Univ Rouen, Rouen, France

来源：

2001 IEEE INTELLIGENT TRANSPORTATION SYSTEMS - PROCEEDINGS | 2001年

关键词：

stereo vision; data fusion; vehicle detection;

D O I：

10.1109/ITSC.2001.948657

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：207 / 212

页数：6

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