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The Bangladesh road traffic sign dataset in real-world images for traffic sign recognitionzenodo [PDF]
Data in BriefTraffic sign detection and classification have significant impacts in the field of automated driving system, traffic management, driver assistance system, to detect traffic rules violations etc.
Md. Ariful Islam, Dewan Md. Farid
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Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching [PDF]
Sensors, 2023 Traffic sign recognition is a complex and challenging yet popular problem that can assist drivers on the road and reduce traffic accidents. Most existing methods for traffic sign recognition use convolutional neural networks (CNNs) and can achieve high ...
Yaozong Gan +5 more
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Recent Advances in Traffic Sign Recognition: Approaches and Datasets [PDF]
Sensors, 2023 Autonomous vehicles have become a topic of interest in recent times due to the rapid advancement of automobile and computer vision technology. The ability of autonomous vehicles to drive safely and efficiently relies heavily on their ability to ...
Xin Roy Lim +5 more
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A lightweight network for traffic sign recognition based on multi-scale feature and attention mechanism [PDF]
HeliyonTraffic sign recognition is an important part of intelligent transportation system. It uses computer vision and traffic sign recognition technology to detect and recognize traffic signs on the road automatically.
Wei Wei +9 more
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Traffic Sign Detection and Classification on the Austrian Highway Traffic Sign Data Set
Data, 2023 Advanced Driver Assistance Systems rely on automated traffic sign recognition. Today, Deep Learning methods outperform other approaches in terms of accuracy and processing time; however, they require vast and well-curated data sets for training.
Alexander Maletzky +4 more
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FAST DRAWING OF TRAFFIC SIGN USING MOBILE MAPPING SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Traffic sign provides road users with the specified instruction and information to enhance traffic safety. Automatic detection of traffic sign is important for navigation, autonomous driving, transportation asset management, etc.
Q. Yao, B. Tan, Y. Huang
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International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: Consensus on the signs and symptoms of the visitor with an understanding of water for humans is fundamentally established. But it is still difficult to identify the signs and symptoms of the guest for the laptop. Both image processing and machine learning algorithms are constantly being developed to better solve this problem.
Podila Mounika, Mudrakola Bhavani
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Journal of Advanced Transportation, 2021 Given the impact of traffic sign combinations (TSC) on the driver’s visual recognition, this paper analyzed the influence on the driver’s visual recognition process.
Kun Liu, Hongxing Deng
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IATSS Research, 2022 Previous research has demonstrated that training is an effective intervention to increase traffic sign comprehension among road users. However, the effectiveness of training may interact with the characteristics of the sign, and the evidence is still ...
Dewi Maulina +4 more
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TRAFFIC SIGN DETECTION BASED ON BIOLOGICALLY VISUAL MECHANISM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 TSR (Traffic sign recognition) is an important problem in ITS (intelligent traffic system), which is being paid more and more attention for realizing drivers assisting system and unmanned vehicle etc. TSR consists of two steps: detection and recognition,
X. Hu, X. Zhu, D. Li
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