Road sign recognition with Convolutional Neural Network

机译：卷积神经网络的路标识别

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Extracting the contents of a digital image has been proven a hard problem for computers. Since for them, an image is only a matrix of values, knowing what structures a human would recognize in this image, is a nontrivial problem. In this paper, we have implemented and tested a system of detection of road signs. The approach taken in this work consists of using convolutional neural network where this network is supposed to distinguish between different classes of signs (stop, attention etc.) and the final model will then be integrated to the autonomous cars. Tests carried out on the dataset GTSRB (The German Traffic Sign Recognition Benchmark) shows the performance of the system currently being developed.

机译：事实证明，提取数字图像的内容对于计算机来说是一个难题。因为对于他们来说，图像只是值的矩阵，所以知道一个人会在该图像中识别什么结构是一个不小的问题。在本文中，我们已经实施并测试了道路标志检测系统。在这项工作中采用的方法包括使用卷积神经网络，其中该网络应能够区分不同类别的标志（停止，注意等），然后将最终模型集成到自动驾驶汽车中。对数据集GTSRB（德国交通标志识别基准）进行的测试显示了当前正在开发的系统的性能。

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来源
《2018 International Conference on Intelligent Systems and Computer Vision》|2018年|1-7|共7页
会议地点 Fez(MA)
作者
Amal Bouti; Mohamed Adnane Mahraz; Jamal Riffi; Hamid Tairi;
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作者单位

LIIAN Laboratory, Department of Informatic FSDM, USMBA, FEZ, Morocco;

LIIAN Laboratory, Department of Informatics FSDM, USMBA, FEZ, Morocco;

LIIAN Laboratory, Department of Informatics FSDM, USMBA, FEZ, Morocco;

LIIAN Laboratory, Department of Informatics FS;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Biological neural networks; Convolution; Neurons; Convolutional neural networks; Roads; Image recognition;

机译：生物神经网络;卷积;神经元;卷积神经网络;道路;图像识别;;
入库时间 2022-08-26 14:31:55

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1. A Novel Genetically Optimized Convolutional Neural Network for Traffic Sign Recognition: A New Benchmark on Belgium and Chinese Traffic Sign Datasets [J] . Jain Arpan, Mishra Apoorva, Shukla Anupam, Neural processing letters . 2019,第3期

机译：交通标志识别新型遗传优化的卷积神经网络：比利时和中国交通标志数据集的新基准
2. Efficient Traffic Sign Recognition Using Cross-Connected Convolution Neural Networks Under Compressive Sensing Domain [J] . Xiong Jiping, Ye Lingfeng, Jiang Dingde, Mobile networks & applications . 2021,第2期

机译：在压缩传感域下使用交叉连接的卷积神经网络有效的交通标志识别
3. ASL-3DCNN: American sign language recognition technique using 3-D convolutional neural networks [J] . Sharma Shikhar, Kumar Krishan Multimedia Tools and Applications . 2021,第17期

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4. Autonomous Driving System with Road Sign Recognition using Convolutional Neural Networks [C] . Vaibhav Swaminathan, Shrey Arora, Ravi Bansal, International Conference on Computational Intelligence in Data Science . 2019

机译：卷积神经网络的带路标识别的自动驾驶系统
5. Classification of Road Side Material Using Convolutional Neural Network and a Proposed Implementation of the Network Through Zedboard Zynq 7000 FPGA [D] . Rahman, Tanvir. 2017

机译：使用卷积神经网络对路边物料进行分类以及通过Zedboard Zynq 7000 FPGA进行网络的拟议实现
6. Recognition of Damaged Arrow-Road Markings by Visible Light Camera Sensor Based on Convolutional Neural Network [O] . Husan Vokhidov, Hyung Gil Hong, Jin Kyu Kang, 2016

机译：基于卷积神经网络的可见光摄像头传感器识别损坏的箭头标记
7. Traffic sign recognition using convolutional neural networks [O] . Mutaqin Akbar 2021

机译：使用卷积神经网络的交通标志识别

Road sign recognition with Convolutional Neural Network

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