Traffic Sign Recognition Using Convolutional Neural Networks (CNN)

#artificialintelligence 

Deep Neural Networks (DNN) have greater capabilities for image pattern recognition and are widely used in Computer Vision algorithms. And, Convolutional Neural Network (CNN, or ConvNet) is a class of DNN (Deep Neural Networks) which is most commonly applied to analyzing visual imagery. Traffic sign classification and detection is one of the major task in self-driving as it gives the input of what sign is in the image to decision making. Traffic-sign recognition (TSR) is a technology by which a vehicle is able to recognize the traffic signs put on the road e.g. "speed limit" or "children" or "turn ahead".

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found