Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)

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UAV Image Recognition Technology and Applications in Transportation

Authors
Huayang Dai1, *
1College of Computing and Big Data, Fuzhou University, Fuzhou, 350005, China
*Corresponding author. Email: 102104232@fzu.edu.cn
Corresponding Author
Huayang Dai
Available Online 16 October 2024.
DOI
10.2991/978-94-6463-540-9_50How to use a DOI?
Keywords
Unmanned Aerial Vehicle; Image Recognition; Road Security; Violation Monitoring; Traffic Jam
Abstract

In recent years, with the development of economy and science and technology, establishing a more intelligent transportation system is an effective way to solve the frequent traffic problems. Drones are widely used in intelligent transportation because of their compactness and flexibility, wide aerial view, and good real-time performance, etc. The use of drone image recognition technology has become an important means of solving problems such as traffic safety and traffic congestion. The purpose of the research in this paper is to summarize and prospect the future direction of UAVs in transportation. Firstly, this paper divides the application of drones in transportation into three directions, and combines the improvement narratives of drone image recognition technology based on transportation in recent years, which are (1) the application of drone images in strengthening road safety (2) the application of drones in precise violation detection (3) the application of drones in reducing traffic congestion problems. Finally, the above points are combined to look forward to the future development trend of UAV image recognition technology and its wider application in transportation. This paper concludes that drones have a very important role in establishing intelligent transportation, but there is still room for progress in improving image recognition technology.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
Series
Advances in Computer Science Research
Publication Date
16 October 2024
ISBN
978-94-6463-540-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-540-9_50How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Huayang Dai
PY  - 2024
DA  - 2024/10/16
TI  - UAV Image Recognition Technology and Applications in Transportation
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 504
EP  - 511
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_50
DO  - 10.2991/978-94-6463-540-9_50
ID  - Dai2024
ER  -