Traffic Sign Detection Method Using Multi-Color Space Fusion

Author(s):  
Xin Wu ◽  
Zhenzhuo Wei ◽  
Yulu Hu ◽  
Lianming Wang
2019 ◽  
Vol 94 ◽  
pp. 381-391 ◽  
Author(s):  
Xianghua Xu ◽  
Jiancheng Jin ◽  
Shanqing Zhang ◽  
Lingjun Zhang ◽  
Shiliang Pu ◽  
...  

Author(s):  
Jixiang Wan ◽  
Wei Ding ◽  
Hanlin Zhu ◽  
Ming Xia ◽  
Zunkai Huang ◽  
...  

2021 ◽  
Vol 229 ◽  
pp. 01006
Author(s):  
Ayoub Ellahyani ◽  
Ilyas El Jaafari ◽  
Said Charfi

Recently, intelligent transportation systems (ITS) attracts more and more attention for its wide applications. Traffic sign detection and recognition (TSDR) system is an essential task of ITS. It enhances the safety by informing the drivers about the current state of traffic signs and offering valuable information about precautions. This paper reviews the popular traffic sign detection methods (TSD) prevalent in recent literature. The methods are divided into color-based, shape-based, and machine learning based ones. Color space, segmentation method, features, and shape detection method are the terms considered in the review of the detection module. The paper presents a comparison between these methods. Furthermore, a list of publicly available data sets and a discussion on possible future works are provided.


2019 ◽  
Vol 1176 ◽  
pp. 032045 ◽  
Author(s):  
Linxiu Wu ◽  
Houjie Li ◽  
Jianjun He ◽  
Xuan Chen

2021 ◽  
Author(s):  
Tonghe Ding ◽  
Kaili Feng ◽  
Tianping Li ◽  
Zhifeng Liu

2013 ◽  
Vol 30 (5) ◽  
pp. 539-551 ◽  
Author(s):  
Gangyi Wang ◽  
Guanghui Ren ◽  
Lihui Jiang ◽  
Taifan Quan

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