Neural networks modification for solving the traffic signs detection problem

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چکیده

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Convolutional Neural Networks for Croatian Traffic Signs Recognition

We present an approach to recognition of Croatian traffic signs based on convolutional neural networks (CNNs). A library for quick prototyping of CNNs, with an educational scope, is first developed. An architecture similar to LeNet-5 is then created and tested on the MNIST dataset of handwritten digits where comparable results were obtained. We analyze the FERMASTIF TS2010 dataset and propose a...

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A traffic sign classification method based on artificial neural network is proposed in this paper. The proposed method for classifying traffic signs first detects traffic signs by using on the property of color probability model and then classifies the detected traffic signals. In both of detection and classification processes, two artificial neural network models are utilized. Experiments on p...

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ژورنال

عنوان ژورنال: IOP Conference Series: Materials Science and Engineering

سال: 2019

ISSN: 1757-899X

DOI: 10.1088/1757-899x/695/1/012024