模糊模型在交通信号灯识别中的应用

2016 8th Euro American Conference on Telematics and Information Systems (EATIS) Pub Date : 2016-04-01 DOI:10.1109/EATIS.2016.7520130

Thiago Almeida, Nathanael Vasconcelos, A. X. Benicasa, Hendrik T. Macedo

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引用次数: 4

摘要

本文旨在提出一种基于人工智能生物学概念，特别是视觉注意、图像处理和模糊的交通信号灯识别模型。该模型使用检测区域的颜色直方图信息作为模糊机的输入，对场景进行红色或绿色的分类。白天和夜间的实验结果表明了该模型的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fuzzy model applied to the recognition of traffic lights signals

This article aims to propose a recognition model of traffic lights which is based on biological concepts of artificial intelligence, specifically visual attention, image processing, and fuzzy. The proposed model uses information from the color histogram of the detected area as input to the fuzzy machine to classify a scene as having a red or green light. Experimental results obtained in the daytime and nighttime periods reveal the efficiency of the proposed model.

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来源期刊

2016 8th Euro American Conference on Telematics and Information Systems (EATIS)

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