An efficient traffic sign recognition based on graph embedding features
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3063-z
Abstract: Traffic sign recognition (TSR) is one of the significant modules of an intelligent transportation system. It instantly assists the drivers to efficiently recognize the traffic sign. Recognition of traffic sign is a large-scale feature learning… read more here.
Keywords: traffic; graph; sign recognition; traffic sign ... See more keywords
Performance enhancement techniques for traffic sign recognition using a deep neural network
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DOI: 10.1007/s11042-020-08848-z
Abstract: An advanced traffic sign recognition (ATSR) system using novel pre-processing techniques and optimization techniques has been proposed. During the pre-processing of input road images, color contrasts are enhanced and edges are made clearer, for easier… read more here.
Keywords: traffic; recognition; performance; traffic signs ... See more keywords
Traffic sign detection algorithm based on feature expression enhancement
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11413-x
Abstract: Traffic sign detection is an important research direction in computer vision, which is of great significance for autonomous driving and advanced assisted driving systems. Due to the complexity of traffic signs in natural scenes, existing… read more here.
Keywords: traffic; detection; sign detection; feature expression ... See more keywords
An overview of traffic sign detection and classification methods
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DOI: 10.1007/s13735-017-0129-8
Abstract: Over the last few years, different traffic sign recognition systems were proposed. The present paper introduces an overview of some recent and efficient methods in the traffic sign detection and classification. Indeed, the main goal… read more here.
Keywords: detection classification; detection; traffic sign;
TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.049
Abstract: Abstract Traffic sign detection and recognition in the wild is a challenging task. Existing techniques are often incapable of detecting small or occluded traffic signs because of the scale variation and context loss, which causes… read more here.
Keywords: scale aware; traffic; sign detection; traffic sign ... See more keywords
Wireless digital traffic signs of the future
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DOI: 10.1049/iet-net.2018.5127
Abstract: Traffic signs have come a long way since the first automobile was invented. They have long served the purpose of warning and guiding drivers and also enforcing the traffic laws governing speed, parking, turns, and… read more here.
Keywords: traffic; digital traffic; wireless digital; traffic signs ... See more keywords
The impact of traffic sign deficit on road traffic accidents in Nigeria
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Injury Control and Safety Promotion"
DOI: 10.1080/17457300.2018.1456470
Abstract: ABSTRACT This study assesses the impact of traffic sign deficit on road traffic accidents in Nigeria. The participants were 720 commercial vehicle drivers. While simple random sampling was used to select 6 out of 137… read more here.
Keywords: traffic; road; sign deficit; accidents nigeria ... See more keywords
Multi-Feature Fusion and Enhancement Single Shot Detector for Traffic Sign Recognition
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DOI: 10.1109/access.2020.2975828
Abstract: Road traffic sign detection and recognition play an important role in advanced driver assistance systems (ADAS) by providing real-time road sign perception information. In this paper, we propose an improved (Single Shot Detector) SSD algorithm… read more here.
Keywords: single shot; sign; sign recognition; traffic ... See more keywords
Neural-Network-Based Traffic Sign Detection and Recognition in High-Definition Images Using Region Focusing and Parallelization
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DOI: 10.1109/access.2020.3031191
Abstract: Recent trends in the development of autonomous vehicles focus on real-time processing of vast amounts of data from various sensors. The data can be acquired using multiple cameras, lidars, ultrasonic sensors, and radars to collect… read more here.
Keywords: traffic; high definition; detection recognition; detection ... See more keywords
A Traffic Sign Recognition Method Under Complex Illumination Conditions
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DOI: 10.1109/access.2023.3266825
Abstract: Environment awareness technology is one of the most critical technologies for autonomous vehicles, and traffic sign recognition is an important branch of environment awareness system, which has important research significance for ensuring traffic safety. To… read more here.
Keywords: complex illumination; traffic; illumination conditions; traffic sign ... See more keywords
An Improved Traffic Sign Detection and Recognition Deep Model Based on YOLOv5
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3281551
Abstract: In this paper, we aim at the traffic sign detection and recognition in complex road conditions. We proposed a deep model for traffic sign detection and recognition. There are a few difficulties in traffic sign… read more here.
Keywords: traffic sign; detection; model; sign detection ... See more keywords