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Intelligent Highway Speed Monitoring UAV System Based on Deep Learning

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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  • (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
  • (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

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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
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 June 2021

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Author Tags

  1. Deep Learning
  2. License Plate Recognition
  3. Vehicle Speed Measurement

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View all
  • (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
  • (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

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