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
Fast Sign Recognition with Weighted Hybrid K-Nearest Neighbors Based on Holistic Features from Local Feature Descriptors
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000673
Abstract: AbstractSign recognition is crucial not only for road asset inventory but also for intelligent vehicles. Fast and robust sign recognition is still an open problem especially in varying and complex ... read more here.
Keywords: weighted hybrid; recognition; recognition weighted; hybrid nearest ... See more keywords
Multi-Feature Fusion and Enhancement Single Shot Detector for Traffic Sign Recognition
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
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
Reply to “Comments on ‘Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features”’
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2019.2933410
Abstract: This paper addresses the questions and concerns raised in the comment paper entitled “Comments on ‘Traffic Sign Recognition Using Kernel Extreme Leaning Machines With Deep Perceptual Features”’. It is analyzed that the major questions and… read more here.
Keywords: kernel extreme; sign recognition; paper; traffic sign ... See more keywords
Traffic Sign Recognition With Lightweight Two-Stage Model in Complex Scenes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3020556
Abstract: Traffic sign recognition with high accuracy and real-time is an important part of the intelligent transportation system. In this article, based on large-scale traffic signs and the inherent conflict between location regression and classification of… read more here.
Keywords: two stage; traffic; sign recognition; traffic sign ... See more keywords
Traffic Sign Recognition Based on Semantic Scene Understanding and Structural Traffic Sign Location
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3145467
Abstract: Traffic sign recognition (TSR) plays an important role in driving assistance system and traffic safety insurance. However, existing methods focus on extracting features of traffic signs and ignore the constraints of spatial positional relationships between… read more here.
Keywords: sign recognition; traffic; traffic signs; traffic sign ... See more keywords
Yolo-Based Traffic Sign Recognition Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2682921
Abstract: With the rapid development of intelligent transportation, more and more vehicles are equipped with intelligent traffic sign recognition systems, which can reduce the potential safety hazards caused by human cognitive errors. Therefore, a more safe… read more here.
Keywords: recognition; recognition algorithm; sign recognition; traffic ... See more keywords
A Real-Time Traffic Sign Recognition Method Using a New Attention-Based Deep Convolutional Neural Network for Smart Vehicles
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13084793
Abstract: Artificial Intelligence (AI) in the automotive industry allows car manufacturers to produce intelligent and autonomous vehicles through the integration of AI-powered Advanced Driver Assistance Systems (ADAS) and/or Automated Driving Systems (ADS) such as the Traffic… read more here.
Keywords: sign recognition; traffic; real time; traffic sign ... See more keywords
Research on a Traffic Sign Recognition Method under Small Sample Conditions
Sign Up to like & getrecommendations! Published in 2023 at "Sensors"
DOI: 10.3390/s23115091
Abstract: Traffic signs are updated quickly, and there image acquisition and labeling work requires a lot of manpower and material resources, so it is difficult to provide a large number of training samples for high-precision recognition.… read more here.
Keywords: recognition; recognition method; sign recognition; traffic ... See more keywords