Traffic sign classification using CNN and detection using faster-RCNN and YOLOV4 [PDF]
Heliyon, 2022 Autonomous driving cars are becoming popular everywhere and the need for a robust traffic sign recognition system that ensures safety by recognizing traffic signs accurately and fast is increasing.
Njayou Youssouf
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Improving Performance of the PRYSTINE Traffic Sign Classification by Using a Perturbation-Based Explainability Approach [PDF]
Journal of Imaging, 2022 Model understanding is critical in many domains, particularly those involved in high-stakes decisions, e.g., medicine, criminal justice, and autonomous driving.
Kaspars Sudars +2 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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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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Traffic Sign Detection and Quality Assessment Using YOLOv8 in Daytime and Nighttime Conditions [PDF]
SensorsTraffic safety remains a pressing global concern, with traffic signs playing a vital role in regulating and guiding drivers. However, environmental factors like lighting and weather often compromise their visibility, impacting human drivers and ...
Ziyad N. Aldoski, Csaba Koren
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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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Energies, 2022 Sustainable public transport is an important factor to boost urban economic development, and it is also an important part of building a low-carbon environmental society.
Jingjing Liu +5 more
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Color Standardization of Traffic Sign Images Based on Multi-Color Space Cascade Classification [PDF]
Jisuanji gongcheng, 2020 Based on a constructed traffic sign color matrix,the analysis of color standardization mappings is carried out,and the mapping target color set of traffic sign color standardization is determined.Then the statistical data of RGB componentsin triangle ...
LIU Yang, HUANG Darong, LIU Yang, ZHONG Wei
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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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Traffic Sign Detection and Recognition Using Novel Center-Point Estimation and Local Features
IEEE Access, 2020 Traffic sign detection is one of the critical technologies in the field of intelligent transportation systems (ITS). The difficulty of traffic sign detection mainly lies in detecting small objects in a wide and complex traffic scene quickly and ...
Lijing Wei +3 more
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