YOLO-Based UAV Technology: A Review of the Research and Its Applications
In recent decades, scientific and technological developments have continued to increase in speed, with researchers focusing not only on the innovation of single technologies but also on the cross-fertilization of multidisciplinary technologies. Unmanned aerial vehicle (UAV) technology has seen great...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Drones |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-446X/7/3/190 |
| _version_ | 1797612369178787840 |
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| author | Chunling Chen Ziyue Zheng Tongyu Xu Shuang Guo Shuai Feng Weixiang Yao Yubin Lan |
| author_facet | Chunling Chen Ziyue Zheng Tongyu Xu Shuang Guo Shuai Feng Weixiang Yao Yubin Lan |
| author_sort | Chunling Chen |
| collection | DOAJ |
| description | In recent decades, scientific and technological developments have continued to increase in speed, with researchers focusing not only on the innovation of single technologies but also on the cross-fertilization of multidisciplinary technologies. Unmanned aerial vehicle (UAV) technology has seen great progress in many aspects, such as geometric structure, flight characteristics, and navigation control. The You Only Look Once (YOLO) algorithm was developed and has been refined over the years to provide satisfactory performance for the real-time detection and classification of multiple targets. In the context of technology cross-fusion becoming a new focus, researchers have proposed YOLO-based UAV technology (YBUT) by integrating the above two technologies. This proposed integration succeeds in strengthening the application of emerging technologies and expanding the idea of the development of YOLO algorithms and drone technology. Therefore, this paper presents the development history of YBUT with reviews of the practical applications of YBUT in engineering, transportation, agriculture, automation, and other fields. The aim is to help new users to quickly understand YBUT and to help researchers, consumers, and stakeholders to quickly understand the research progress of the technology. The future of YBUT is also discussed to help explore the application of this technology in new areas. |
| first_indexed | 2024-03-11T06:40:18Z |
| format | Article |
| id | doaj.art-e7755f507a0747fe84154cbaf625c64e |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-03-11T06:40:18Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-e7755f507a0747fe84154cbaf625c64e2023-11-17T10:39:42ZengMDPI AGDrones2504-446X2023-03-017319010.3390/drones7030190YOLO-Based UAV Technology: A Review of the Research and Its ApplicationsChunling Chen0Ziyue Zheng1Tongyu Xu2Shuang Guo3Shuai Feng4Weixiang Yao5Yubin Lan6College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, ChinaCollege of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, ChinaCollege of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, ChinaCollege of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, ChinaCollege of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, ChinaCollege of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, ChinaCollege of Electronic Engineering and Artificial Intelligence, South China Agricultural University, Guangzhou 510642, ChinaIn recent decades, scientific and technological developments have continued to increase in speed, with researchers focusing not only on the innovation of single technologies but also on the cross-fertilization of multidisciplinary technologies. Unmanned aerial vehicle (UAV) technology has seen great progress in many aspects, such as geometric structure, flight characteristics, and navigation control. The You Only Look Once (YOLO) algorithm was developed and has been refined over the years to provide satisfactory performance for the real-time detection and classification of multiple targets. In the context of technology cross-fusion becoming a new focus, researchers have proposed YOLO-based UAV technology (YBUT) by integrating the above two technologies. This proposed integration succeeds in strengthening the application of emerging technologies and expanding the idea of the development of YOLO algorithms and drone technology. Therefore, this paper presents the development history of YBUT with reviews of the practical applications of YBUT in engineering, transportation, agriculture, automation, and other fields. The aim is to help new users to quickly understand YBUT and to help researchers, consumers, and stakeholders to quickly understand the research progress of the technology. The future of YBUT is also discussed to help explore the application of this technology in new areas.https://www.mdpi.com/2504-446X/7/3/190YOLOUAVobject detectioninterdisciplinaryapplication |
| spellingShingle | Chunling Chen Ziyue Zheng Tongyu Xu Shuang Guo Shuai Feng Weixiang Yao Yubin Lan YOLO-Based UAV Technology: A Review of the Research and Its Applications Drones YOLO UAV object detection interdisciplinary application |
| title | YOLO-Based UAV Technology: A Review of the Research and Its Applications |
| title_full | YOLO-Based UAV Technology: A Review of the Research and Its Applications |
| title_fullStr | YOLO-Based UAV Technology: A Review of the Research and Its Applications |
| title_full_unstemmed | YOLO-Based UAV Technology: A Review of the Research and Its Applications |
| title_short | YOLO-Based UAV Technology: A Review of the Research and Its Applications |
| title_sort | yolo based uav technology a review of the research and its applications |
| topic | YOLO UAV object detection interdisciplinary application |
| url | https://www.mdpi.com/2504-446X/7/3/190 |
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