Research on traffic sign detection algorithm based on deep learning-Reference-Cited by-同舟云学术

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Research on traffic sign detection algorithm based on deep learning

Published:2018-08-03 Issue:22 Volume:30 Page:e4675
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Wang Quan¹^ORCID,Fu Weiping¹

Affiliation:

1. Xi'an University of Technology; Shaanxi China

Funder

National Natural Science Foundation of China

Shaanxi Province Important disciplines of the vehicle engineering construction of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.4675/fullpdf

Reference11 articles.

1. A review on automatic detection and recognition of traffic sign;Gudigar;Multimed Tools Appl,2016

2. Evolutionary feature and instance selection for traffic sign recognition;Chen;Comput Ind,2015

3. On circular traffic sign detection and recognition;Berkaya;Expert Syst Appl,2016

4. Generalized sign recognition based on the Gaussian statistical color model for intelligent road sign inventory;Hu;Transp Res Rec J Transp Res Board,2016

5. Validating the impact on reducing fuel consumption by using an ecodriving assistant based on traffic sign detection and optimal deceleration patterns;Muñoz-Organero;IEEE Trans Intell Transp Syst,2013

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1. A systematic review of object detection from images using deep learning;Multimedia Tools and Applications;2023-06-24

2. R‐ICTS : Recognize the Indian cautionary traffic signs in real‐time using an optimized adaptive boosting cascade classifier and a convolutional neural network;Concurrency and Computation: Practice and Experience;2021-12-27

3. SELF-DRIVING CAR USING LIDAR SENSING AND IMAGE PROCESSING;INT J GRID DISTRIB;2020

4. Special issue on 2017 International Conference of Intelligence Computation and Evolutionary Computation (ICEC2017);Concurrency and Computation: Practice and Experience;2018-08-24

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