research-article

Intelligent Highway Speed Monitoring UAV System Based on Deep Learning

Authors:

Pengcheng LiAuthors Info & Claims

ICIGP '21: Proceedings of the 2021 4th International Conference on Image and Graphics Processing

Pages 73 - 79

https://doi.org/10.1145/3447587.3447598

Published: 04 June 2021 Publication History

Abstract

At present, with economic development, traffic accidents occur frequently, and more than one-third of traffic accidents are caused by speeding. Current highway speed measurement devices have disadvantages such as high cost, inability to move, and low speed measurement accuracy. For these reasons, we propose an intelligent monitoring drone system for highway speed measurement based on deep learning. The system uses drones for monitoring, so the system is low-cost and flexible. First, the system's camera captures and recognizes vehicle movement and license plate information. Second, we propose algorithms based on the corners of the lane line speed measurement and the speed measurement based on the homography matrix to calculate the vehicle speed, and at the same time detect and recognize the license plate. Third, we propose to use ensemble learning methods to improve the accuracy of vehicle speed measurement, and finally obtain vehicle speed and speeding license plates. Experimental results prove that the proposed highway speed measurement UAV system can accurately identify and measure vehicle speed and record speeding license plates.

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Cited By

Xu HWang LHan WYang YLi JLu YLi J(2023)A Survey on UAV Applications in Smart City Management: Challenges, Advances, and OpportunitiesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing10.1109/JSTARS.2023.331750016(8982-9010)Online publication date: 2023
https://doi.org/10.1109/JSTARS.2023.3317500
Hermanus DSupangkat SHidayat FSasmoko Indrianti Y(2023)Empowering Smart Education through Computer Vision and the Internet of Everything (IoE) in Intelligent Smart School Transportation2023 10th International Conference on ICT for Smart Society (ICISS)10.1109/ICISS59129.2023.10291222(1-6)Online publication date: 6-Sep-2023
https://doi.org/10.1109/ICISS59129.2023.10291222

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cover image ACM Other conferences

ICIGP '21: Proceedings of the 2021 4th International Conference on Image and Graphics Processing

January 2021

231 pages

ISBN:9781450389105

DOI:10.1145/3447587

Copyright © 2021 ACM.

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Published: 04 June 2021

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ICIGP 2021

ICIGP 2021: 2021 The 4th International Conference on Image and Graphics Processing

January 1 - 3, 2021

Sanya, China

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Cited By

Xu HWang LHan WYang YLi JLu YLi J(2023)A Survey on UAV Applications in Smart City Management: Challenges, Advances, and OpportunitiesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing10.1109/JSTARS.2023.331750016(8982-9010)Online publication date: 2023
https://doi.org/10.1109/JSTARS.2023.3317500
Hermanus DSupangkat SHidayat FSasmoko Indrianti Y(2023)Empowering Smart Education through Computer Vision and the Internet of Everything (IoE) in Intelligent Smart School Transportation2023 10th International Conference on ICT for Smart Society (ICISS)10.1109/ICISS59129.2023.10291222(1-6)Online publication date: 6-Sep-2023
https://doi.org/10.1109/ICISS59129.2023.10291222

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