Results 21 to 30 of about 7,361 (251)
Traffic Sign Recognition Based on Multi-Scale Convolutional Neural Network [PDF]
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]
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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Traffic signs detection and recognition under low-illumination conditions
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
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]
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
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
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
+4 more sources
Traffic sign recognition is a key module of autonomous cars and driver assistance systems. Traffic sign detection accuracy and inference time are the two most important parameters.
Yawar Rehman +5 more
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Fast recognition algorithm for static traffic sign information
Aiming at the low recognition rate, low recognition efficiency, poor anti-interference and high missing detection rate of current traffic sign recognition methods, a fast recognition algorithm based on SURF for static traffic sign information of highway ...
Guo Shaocui, Yang Xu
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Improved Traffic Sign Detection and Recognition Algorithm for Intelligent Vehicles
Traffic sign detection and recognition are crucial in the development of intelligent vehicles. An improved traffic sign detection and recognition algorithm for intelligent vehicles is proposed to address problems such as how easily affected traditional ...
Jingwei Cao +4 more
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