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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Learning Region-Based Attention Network for Traffic Sign Recognition [PDF]
Sensors, 2021 Traffic sign recognition in poor environments has always been a challenge in self-driving. Although a few works have achieved good results in the field of traffic sign recognition, there is currently a lack of traffic sign benchmarks containing many ...
Ke Zhou, Yufei Zhan, Dongmei Fu
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Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature [PDF]
Sensors, 2015 Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages.
Shouyi Yin +4 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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New Dark Area Sensitive Tone Mapping for Deep Learning Based Traffic Sign Recognition [PDF]
Sensors, 2018 In this paper, we propose a new Intelligent Traffic Sign Recognition (ITSR) system with illumination preprocessing capability. Our proposed Dark Area Sensitive Tone Mapping (DASTM) technique can enhance the illumination of only dark regions of an image ...
Jameel Ahmed Khan +2 more
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Small traffic sign recognition method based on improved YOLOv7 [PDF]
Scientific ReportsAs autonomous and assisted driving technologies progress rapidly, the significance of traffic sign recognition intensifies. Currently, the detection accuracy of algorithms for traffic sign recognition remains suboptimal, particularly when identifying ...
Bo Meng, Weida Shi
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Attention to detail: A conditional multi-head transformer for traffic sign recognition. [PDF]
PLoS ONEThe challenge of traffic sign detection and recognition for driving vehicles has become more critical with recent advances in autonomous and assisted driving technologies.
Isra Naz +5 more
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Real-time traffic sign recognition based on a general purpose GPU and deep-learning. [PDF]
PLoS ONE, 2017 We present a General Purpose Graphics Processing Unit (GPGPU) based real-time traffic sign detection and recognition method that is robust against illumination changes.
Kwangyong Lim +3 more
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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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