A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications
Unmanned vehicles/systems (UVs/USs) technology has exploded in recent years. Unmanned vehicles are operated in the air, on the ground, or on/in the water. Unmanned vehicles play a more significant role in many civil application domains, such as remote sensing, surveillance, precision agriculture and...
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Format: | Article |
Language: | English |
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Instituto de Aeronáutica e Espaço (IAE)
2021-11-01
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Series: | Journal of Aerospace Technology and Management |
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Online Access: | https://www.scielo.br/j/jatm/a/vnWkfk66h5VvsRhn6CxjLKx/?format=pdf&lang=en |
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author | Mithra Sivakumar Naga Malleswari TYJ |
author_facet | Mithra Sivakumar Naga Malleswari TYJ |
author_sort | Mithra Sivakumar |
collection | DOAJ |
description | Unmanned vehicles/systems (UVs/USs) technology has exploded in recent years. Unmanned vehicles are operated in the air, on the ground, or on/in the water. Unmanned vehicles play a more significant role in many civil application domains, such as remote sensing, surveillance, precision agriculture and rescue operations rather than manned systems. Unmanned vehicles outperform manned systems in terms of mission safety and operational costs. Unmanned aerial vehicles (UAVs) are widely utilized in the civil infrastructure because of their low maintenance costs, ease of deployment, hovering capability, and excellent mobility. The UAVs can gather photographs faster and more accurately than satellite imagery, allowing for more prompt assessment. This study provides a comprehensive overview of UAV civil applications, including classification and requirements. Also encompassed with research trends, critical civil challenges, and future insights on how UAVs with artificial intelligence (smart AI). Furthermore, this paper discusses the specifications of several drone models and simulators. According to the literature review, precision agriculture is one of the civil applications of smart UAVs. Unmanned aerial vehicles aid in the detection of weeds, crop management, and the identification of plant diseases, among other issues, paving the path for researchers to create drone applications in the future.
Drones, Altitude, Flight Mechanics, Applications, Artificial intelligence, Image processing, Machine learning |
first_indexed | 2024-12-10T20:49:21Z |
format | Article |
id | doaj.art-b3e5fad0fdc04fff9def12edeaaffa1e |
institution | Directory Open Access Journal |
issn | 1984-9648 2175-9146 |
language | English |
last_indexed | 2024-12-10T20:49:21Z |
publishDate | 2021-11-01 |
publisher | Instituto de Aeronáutica e Espaço (IAE) |
record_format | Article |
series | Journal of Aerospace Technology and Management |
spelling | doaj.art-b3e5fad0fdc04fff9def12edeaaffa1e2022-12-22T01:34:09ZengInstituto de Aeronáutica e Espaço (IAE)Journal of Aerospace Technology and Management1984-96482175-91462021-11-0113140214021https://doi.org/10.1590/jatm.v13.1233A Literature Survey of Unmanned Aerial Vehicle Usage for Civil ApplicationsMithra Sivakumar0Naga Malleswari TYJ1SRM Institute of Science and Technology – Department of Networking and Communications – Chennai/Tamilnadu – India.SRM Institute of Science and Technology – Department of Networking and Communications – Chennai/Tamilnadu – India.Unmanned vehicles/systems (UVs/USs) technology has exploded in recent years. Unmanned vehicles are operated in the air, on the ground, or on/in the water. Unmanned vehicles play a more significant role in many civil application domains, such as remote sensing, surveillance, precision agriculture and rescue operations rather than manned systems. Unmanned vehicles outperform manned systems in terms of mission safety and operational costs. Unmanned aerial vehicles (UAVs) are widely utilized in the civil infrastructure because of their low maintenance costs, ease of deployment, hovering capability, and excellent mobility. The UAVs can gather photographs faster and more accurately than satellite imagery, allowing for more prompt assessment. This study provides a comprehensive overview of UAV civil applications, including classification and requirements. Also encompassed with research trends, critical civil challenges, and future insights on how UAVs with artificial intelligence (smart AI). Furthermore, this paper discusses the specifications of several drone models and simulators. According to the literature review, precision agriculture is one of the civil applications of smart UAVs. Unmanned aerial vehicles aid in the detection of weeds, crop management, and the identification of plant diseases, among other issues, paving the path for researchers to create drone applications in the future. Drones, Altitude, Flight Mechanics, Applications, Artificial intelligence, Image processing, Machine learninghttps://www.scielo.br/j/jatm/a/vnWkfk66h5VvsRhn6CxjLKx/?format=pdf&lang=endronesaltitudeflight mechanicsapplicationsartificial intelligenceimage processingmachine learning |
spellingShingle | Mithra Sivakumar Naga Malleswari TYJ A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications Journal of Aerospace Technology and Management drones altitude flight mechanics applications artificial intelligence image processing machine learning |
title | A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications |
title_full | A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications |
title_fullStr | A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications |
title_full_unstemmed | A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications |
title_short | A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications |
title_sort | literature survey of unmanned aerial vehicle usage for civil applications |
topic | drones altitude flight mechanics applications artificial intelligence image processing machine learning |
url | https://www.scielo.br/j/jatm/a/vnWkfk66h5VvsRhn6CxjLKx/?format=pdf&lang=en |
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