Vehicle Detector Based on Improved YOLOv5 Architecture for Traffic Management and Control Systems

Author:

Nguyen Duy-Linh1,Vo Xuan-Thuy1,Priadana Adri1,Jo Kang-Hyun1

Affiliation:

1. University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea

Publisher

IEEE

Reference19 articles.

1. Pp-lcnet: A lightweight CPU convolutional neural network;cui;CoRR,2021

2. Squeeze-and-excitation networks;hu;CoRR,2017

3. Efficientnet: Rethinking model scaling for convolutional neural networks;tan;CoRR,2019

4. Real-Time Vehicle Detection Based on Improved YOLO v5

Cited by 1 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. Deep-Learning-Based Microscopic Approach for Road Traffic Congestion Classification in Highway and Urban Roads Under Adverse Conditions;Transportation Research Record: Journal of the Transportation Research Board;2024-05-29

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