Results 1 to 10 of about 263,907 (182)
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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Hierarchical Novelty Detection for Traffic Sign Recognition. [PDF]
Sensors (Basel), 2022 Recent works have made significant progress in novelty detection, i.e., the problem of detecting samples of novel classes, never seen during training, while classifying those that belong to known classes. However, the only information this task provides about novel samples is that they are unknown.
Ruiz I, Serrat J.
europepmc +5 more sources
Yolo-Based Traffic Sign Recognition Algorithm.
Comput Intell Neurosci, 2022 With the rapid development of intelligent transportation, more and more vehicles are equipped with intelligent traffic sign recognition systems, which can reduce the potential safety hazards caused by human cognitive errors. Therefore, a more safe and reliable traffic sign recognition system is the demand of drivers, and it is also the research hotspot
Li M, Zhang L, Li L, Song W.
europepmc +3 more sources
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
doaj +2 more sources
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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Traffic Sign Recognition System [PDF]
, 2008 The research group CAOS at the Computing Department of the Carlos III University of Madrid, Spain, offers an efficient recognition system for traffic signs using a set of classifiers.
Sanchis de Miguel, María Araceli
core +3 more sources