Results 21 to 30 of about 264,006 (281)
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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Traffic Sign Recognition Based on Multi-Scale Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2020 The traffic sign recognition algorithm based on multi-column Convolutional Neural Network(CNN) has an ideal recognition rate,but its recognition and training time is longer,so its practicability is poorer.Therefore,a road traffic sign detection model ...
XUE Zhixin, ZHENG Yinghao, XIAO Jian, WEI Lingling
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TRAFFIC SIGN DETECTION BASED ON BIOLOGICALLY VISUAL MECHANISM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 TSR (Traffic sign recognition) is an important problem in ITS (intelligent traffic system), which is being paid more and more attention for realizing drivers assisting system and unmanned vehicle etc. TSR consists of two steps: detection and recognition,
X. Hu, X. Zhu, D. Li
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Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods [PDF]
, 2018 This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises ...
Arcos García, Álvaro +2 more
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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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Automatic Recognition of Traffic Signs Based on Visual Inspection
IEEE Access, 2021 The automatic recognition of traffic signs is essential to autonomous driving, assisted driving, and driving safety. Currently, convolutional neural network (CNN) is the most popular deep learning algorithm in traffic sign recognition.
Shouhui He +6 more
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EDGE DETECTION TECHNIQUE BASED ON BILATERAL FILTERING AND ITERATIVE THRESHOLD SELECTION ALGORITHM AND TRANSFER LEARNING FOR TRAFFIC SIGN RECOGNITION [PDF]
Scientific Journal of Silesian University of Technology. Series Transport, 2023 The traffic sign identification and recognition system (TSIRS) is an essential component for autonomous vehicles to succeed. The TSIRS helps to collect and provide helpful information for autonomous driving systems.
Milind PARSE, Dhanya PRAMOD
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Traffic Sign Detection and Recognition
International Journal of Advanced Research in Science, Communication and Technology, 2022 Street traffic signs give directions, cautioning data, to control driver conduct. Also, these signs give a dependable assurance to protected and helpful driving. The Traffic Sign Detection and Recognition (TSDR) framework is one of the essential applications for Advanced Driver Assistance Systems (ADAS).
Preeti S. Pillai +3 more
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Traffic Sign Recognition Using CNN
2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 2022 Abstract: You've probably heard about self-driving automobiles, in which the passenger can completely rely on the vehicle for transportation. Cars must, however, understand and follow all traffic rules in order to achieve level 5 autonomy. Many researchers and large organisations, including as Tesla, Uber, Google, Mercedes-Benz, Toyota, Ford, Audi, and
Chepuri Prasanna +2 more
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A robust algorithm for detection and classification of traffic signs in video data [PDF]
, 2012 —The accurate identification and recognition of the traffic signs is a challenging problem as the developed systems have to address a large number of imaging problems such as motion artifacts, various weather conditions, shadows and partial occlusion ...
Bui, Thanh +3 more
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