A New Vision System for Traffic Sign Recognition

被引：15

作者：

Gu, Yanlei ^{[1
]}

Yendo, Tomohiro ^{[1
]}

Tehrani, Mehrdad Panahpour ^{[1
]}

Fujii, Toshiaki

Tanimoto, Masayuki ^{[1
]}

机构：

[1] Nagoya Univ, Grad Sch Engn, Dept Elect Engn & Comp Sci, Nagoya, Aichi 4648601, Japan

来源：

2010 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) | 2010年

关键词：

D O I：

10.1109/IVS.2010.5548005

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we introduce a new vision system for traffic sign recognition. The new vision system is a hybrid camera system, including a wide angle camera, a narrow angle camera and control part. The traffic sign candidates are detected in the image of the wide angle camera, based on shape and local feature. The control part of the vision system is adjusted to the correct positions, which makes the narrow angle camera of this system to get a high resolution image of each detected candidate. This high resolution image is used for traffic sign classification. In the new vision system, the traffic sign detection and classification are processed in different resolution images separately. This advantage of the system makes traffic sign recognition at long distance possible.

引用

页码：7 / 12

页数：6

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