Results 31 to 40 of about 24,386 (258)
Traffic signs detection and recognition under low-illumination conditions
工程科学学报, 2020 Traffic sign detection and recognition, which are important to ensure traffic safety, have been a research hotspot. In recent years, with the rapid development of automated driving technology, significant progress has been made in developing more ...
Kun ZHAO, Li LIU, Yu MENG, Ruo-can SUN
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International Journal for Research in Applied Science and Engineering Technology, 2021 Abstract: The traffic signs engraved on the streets nowadays improve traffic security by advising the driver regarding speed limits or any further potential perils like profound thrilling streets, inescapable fix street works or any common intersections.
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, 2013 {"references": ["J. Cooper, K. Stafford, P. Owlett and J. Mitchell. CSS Street Lighting\nProject SL5/2007. Published Project Report PPR382. Review of the\nlighting requirement for traffic signs and bollards.", "Jennie Oxley and Brian Fildes. Monash University Accident Research\nCentre.
A. Gutiérrez +4 more
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Self-supervised few-shot learning for real-time traffic sign classification
IJAIN (International Journal of Advances in Intelligent Informatics)Although supervised approaches for traffic sign classification have demonstrated excellent performance, they are limited to classifying several traffic signs defined in the training dataset. This prevents them from being applied to different domains, i.e.
Anh-Khoa Tho Nguyen +3 more
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Traffic Sign Detection Based on Saliency Map and Fourier Descriptor [PDF]
Jisuanji gongcheng, 2017 Aiming at the problems in traffic sign detection process,such as that traffic sign shows dimensional changes,rotation distortion,projection distortion or the sign is partially occluded,in this paper,a traffic sign detection algorithm based on saliency ...
YU Chaochao,HOU Jin,HOU Changzheng
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TRAFFIC SIGN DESCRIPTION SYSTEM
international journal of engineering technology and management sciences, 2022 Traffic Sign Recognition is used to give an audio description to a image sign traffic signs and thus warn a driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety and comfort.
null B.GNANESWAR SAI +4 more
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Research on traffic sign recognition method based on multi-scale convolution neural network
Xibei Gongye Daxue Xuebao, 2021 In order to accurately identify the traffic sign information under different road conditions, an improved deep learning method based on Faster RCNN model is proposed.
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Influence of Driver's Experience on Textual Traffic Sign Efficiency Depending on Visibility
Promet (Zagreb), 2012 The research objective is to study the influence of thedriver's experience on the efficiency of the textual traffic sign dependingon the visibility, that is on the weather conditions.
Senka Pašagić +2 more
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FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
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Traffic Sign Detection Based on Video Encoding Stream
Taiyuan Ligong Daxue xuebao, 2022 In order to improve the poor real-time performance of traffic sign detection in natural scenes, a traffic sign detection method based on video stream was proposed.
Jingjing YANG, Fujiang LI, Qigui ZHANG
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