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Lightweight Low-Altitude UAV Object Detection Based on Improved YOLOv5s

Haokai Zeng

Haokai Zeng

College of Ordnance Science and Technology, Xi’an Technological UniversityXi’an, China
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Zeng, Haokai
, 
Jing Li

Jing Li

College of Electronic Information Engineering, College of Ordnance Science and Technology, Xi’an Technological UniversityXi’an, China
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Li, Jing
 and 
Liping Qu

Liping Qu

College of Ordnance Science and Technology, Xi’an Technological UniversityXi’an, China
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Qu, Liping
  
Mar 28, 2024
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Published Online: Mar 28, 2024
Page range: 87 - 99
DOI: https://doi.org/10.2478/ijanmc-2024-0009
Keywords
© 2024 Haokai Zeng et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Zeng, Haokai
College of Ordnance Science and Technology, Xi’an Technological UniversityXi’an, China
Li, Jing
College of Electronic Information Engineering, College of Ordnance Science and Technology, Xi’an Technological UniversityXi’an, China
Qu, Liping
College of Ordnance Science and Technology, Xi’an Technological UniversityXi’an, China
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Computer Sciences, other
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