A novel traffic sign recognition algorithm based on sparse representation and dictionary learning

2017 ◽  
Vol 32 (5) ◽  
pp. 3775-3784 ◽  
Author(s):  
Bin Wang ◽  
Bin Kong ◽  
Dawen Ding ◽  
Can Wang ◽  
Jing Yang
Author(s):  
Nikita Nikiforov ◽  
Ksenia Shabalina ◽  
Artur Sagitov ◽  
Kuo-Hsien Hsia ◽  
Evgeni Magid

2021 ◽  
Vol 2035 (1) ◽  
pp. 012008
Author(s):  
Pan Su ◽  
Wenju Li ◽  
Liye Sha ◽  
Yanjiao Shi ◽  
Tianzhen Dong

Author(s):  
Xun Liu ◽  
Xiangkui Jiang ◽  
Haochang Hu ◽  
Rui Ding ◽  
Hong Li ◽  
...  

2014 ◽  
Vol 644-650 ◽  
pp. 3980-3983
Author(s):  
Jia Yang Li ◽  
Mei Xia Song

Traffic sign recognition system is a great important part of intelligent transportation system and advanced auxiliary driving system, and it is a key problem to improve the accuracy and real-time performance of traffic sign detection in reality.Considering to the perspective of accuracy and real-time of traffic sign detection and recognition, this article built the traffic sign detection and recognition method based on MATLAB. Finally, the paper proved the conclusion, and future traffic sign detection and recognition need to be further research topics and practical application prospect.


2019 ◽  
Vol 34 (12) ◽  
pp. 1191-1201
Author(s):  
杨晋生 YANG Jin-sheng ◽  
杨雁南 YANG Yan-nan ◽  
李天骄 LI Tian-jiao

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