Computer vision system for robotic complex based on Arduino and Raspberry Pi

被引：0

作者：

Petrova, K. A. ^{[1
]}

机构：

[1] St Petersburg Electrotech Univ LETI, St Petersburg, Russia

来源：

2017 IEEE II INTERNATIONAL CONFERENCE ON CONTROL IN TECHNICAL SYSTEMS (CTS) | 2017年

关键词：

traffic sign recognition; image processing; neural net; classification;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is devoted to traffic sign recognition problem in real time. The recognition process consists of three steps. The first step is a search of image parts which probably contain a traffic sign. The second step is about parts extraction and simple classification by shape. The last step consists of classification of extracted parts with previously learned multilayered neural net. The results of experimental setup based on real data show feasibility of the proposed methods.

引用

页码：370 / 372

页数：3

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