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Traffic signs recognition for driving assistance
[摘要] In the current circumstances with the innovative headway, we must be able to provide assistance to the driving in recognising the traffic signs on the roads. At present time, many reviews are being directed moving in the direction of the usage of a keen Traffic Systems. One field of this exploration is driving support systems, and many reviews are being directed to create frameworks which distinguish and perceive street signs in front of the vehicle, and afterward utilize the data to advise the driver or to even control the vehicle by implementing this system on self-driving vehicles. In this paper we propose a method to detect the traffic sign board in a frame using HAAR cascading and then identifying the sign on it. The output may be either given out in voice or can be displayed as per the driver's convenience. Each of the Traffic Sign is recognised using a database of images of symbols used to train the KNN classifier using open CV libraries.
[发布日期]  [发布机构] School of Electronics Engineering, VIT University, Vellore, Tamil Nadu; 632014, India^1;School of Electrical Engineering, VIT University, Vellore, Tamil Nadu; 632014, India^2;School of Computing Science and Engineering, VIT University, Vellore, Tamil Nadu; 632014, India^3
[效力级别] 工业技术 [学科分类] 
[关键词] Driving assistance;Driving support system;K-NN classifier;Open cv libraries;Self-driving vehicles;Sign-on;Street signs;Traffic systems [时效性] 
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