基于TensorFlow的交通标志识别系统研究

The Research of Traffic Sign Recognition Based on TensorFlow

在经济快速发展、人们生活水平逐渐提高的同时,社会上行驶的车辆数目迅速增多,交通拥堵现象成为常态,并且交通事故也频频出现,对社会造成了巨大损失。基于此种形势,无人驾驶领域的智能交通系统受到很多人的关注。TensorFlow是近年来比较流行的深度学习框架,本文将基于TensorFlow实现卷积神经网络模型,并解决交通标志识别的实际应用。

While the economy is developing rapidly and living standards of people are gradually improving,the number of vehicles driving in the society has increased rapidly.Traffic congestion has become the norm,and traffic accidents have frequently appeared,causing huge losses to society.Based on this situation,the intelligent transportation system in the driverless field has attracted more and more attention.TensorFlow is a popular deep learning framework in recent years.This paper will implement a convolutional neural network model based on TensorFlow and solve the practical application of traffic sign recognition.