Traffic sign classification using CNN and detection using faster-RCNN and YOLOV4

Traffic sign classification using CNN and detection using faster-RCNN and YOLOV4

Autonomous driving cars are becoming popular everywhere and the need for a robust traffic sign recognition system that ensures safety by recognizing traffic signs accurately and fast is increasing. In this paper, we build a CNN that can classify 43 different traffic signs from the German Traffic Sig...

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Bibliographic Details
Main Author: Njayou Youssouf
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Heliyon
Subjects:
Convolutional neural network
Object detection
Faster R–CNN
YOLOv4
Traffic sign recognition
Traffic sign classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022030808

Internet

http://www.sciencedirect.com/science/article/pii/S2405844022030808

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