Classification Of Traffic Signs By Convolutional Neural Networks
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The paper presented here describes traffic signs classification method based on a convolutional neural network (CNN). The CNN was trained and tested on the public database of German traffic signs with 43 mostly used traffic sign types. Proposed technique achieved overall classification F1 score 89.97 percent on a hidden testing dataset.
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings of the 24th Conference STUDENT EEICT 2018. s. 188-190. ISBN 978-80-214-5614-3
- Student EEICT 2018