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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
The Bangladesh road traffic sign dataset in real-world images for traffic sign recognitionzenodo
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
doaj +3 more sources
Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching
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
doaj +1 more source
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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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
doaj +1 more source
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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Blackspot analysis of road traffic crashes in Surabaya - Manyar Toll Road, East Java [PDF]
, 2021 Traffic crashes are one of the problems that cannot be prevented, especially on toll roads. Knowing the crash element, including crash number, type, factor, and fatality, could lead the investigation to set crash solving and prevention by finding the ...
Hartatik, Nurani +2 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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