Results 11 to 20 of about 264,006 (281)
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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Traffic sign dataset for connected and automated vehicle operations in rural areaszenodo [PDF]
Data in BriefAccurate traffic sign recognition is essential for the safe operation of Connected and Automated Vehicles (CAVs). However, many existing datasets, such as the LISA Traffic Sign Dataset, are predominantly composed of signs found in urban environments ...
Mohammed Zakaria +2 more
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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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Traffic Sign Recognition Based on Evolutionary ResNet [PDF]
Jisuanji gongcheng, 2022 Convolutional Neural Network(CNN) has better image feature extraction performances and is widely used in traffic sign recognition.However, existing traffic sign recognition algorithms are typically based on expert experience to design an improved image ...
XIE Yirong, MA Yongjie
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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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Rare Traffic Signs Recognition
Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2, 2021 Recognition of road signs is an important part of the control systems of autonomous vehicles and driver assistance systems. Modern recognition methods based on neural networks require large well-labeled datasets. Marking up data is quite expensive, but it is even more difficult to mark up rare classes of objects.
Tingir Badmaev +2 more
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Enhanced Traffic Sign Recognition with Ensemble Learning
Journal of Sensor and Actuator Networks, 2023 With the growing trend in autonomous vehicles, accurate recognition of traffic signs has become crucial. This research focuses on the use of convolutional neural networks for traffic sign classification, specifically utilizing pre-trained models of ...
Xin Roy Lim +3 more
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AUTOMATIC TRAFFIC SIGN DETECTION AND RECOGNITION USING MOBILE LIDAR DATA WITH DIGITAL IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 This paper presents a traffic sign detection and recognition method from mobile LiDAR data and digital images for intelligent transportation-related applications. The traffic sign detection and recognition method includes two steps: traffic sign interest
H. Guan, Y. Yu, D. Li, J. Li
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