YOLOv3 Algorithm with additional convolutional neural network trained for traffic sign recognition-Reference-Cited by-同舟云学术

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YOLOv3 Algorithm with additional convolutional neural network trained for traffic sign recognition

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 Zooming Innovation in Consumer Technologies Conference (ZINC)
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Author:

Novak Branislav,Ilic Velibor,Pavkovic Bogdan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9152810/9161429/09161446.pdf?arnumber=9161446

Cited by 267 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Integration of Artificial Intelligence and Computer Vision in Large-Scale Video Surveillance of Railway Stations;2024 Zooming Innovation in Consumer Technologies Conference (ZINC);2024-05-22

2. A Traffic Sign Object Detection Network Based on YOLOv8- EfficientNet;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

3. Integrative Approach for High-Speed Road Surface Monitoring: A Convergence of Robotics, Edge Computing, and Advanced Object Detection;Applied Sciences;2024-02-24

4. Traffic Sign Detection and Recognition Using YOLO Object Detection Algorithm: A Systematic Review;Mathematics;2024-01-17

5. Real-Time Multi-objects Detection Using YOLOv7 for Advanced Driving Assistant Systems;Lecture Notes in Networks and Systems;2024

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