Abstract In this chapter, we formulated the problem of traffic sign recognition in two stages namely detection and classification. The detection stage is responsible for locating regions of image containing traffic signs and the classification stage is responsible for finding class of traffic signs. Related work in the field of traffic sign detection and classification is also reviewed. We mentioned several methods based on hand-crafted features and then introduced the idea behind feature learning. Then, we explained some of the works based on convolutional neural networks.
Traffic Sign Detection and Recognition
01.01.2017
14 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Feature Extraction Algorithm , Advance Driver Assistant System , Traffic Sign , Convolutional Neural Network , Sparse Code Pattern Recognition , Signal, Image and Speech Processing , Language Translation and Linguistics , Computer Systems Organization and Communication Networks , Automotive Engineering , Computer Science , Information Systems Applications (incl. Internet)
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