Survey on Path Planning for UAVs in Healthcare Missions

被引:0
作者
Ahmad Merei
Hamid Mcheick
Alia Ghaddar
机构
[1] University of Quebec at Chicoutimi,Department of Computer Science and Mathematics
[2] International University of Beirut,Department of Computer Science
[3] Lebanese International University,Department of Computer Science
来源
Journal of Medical Systems | / 47卷
关键词
Unmanned aerial vehicles; Healthcare; Health services; Health applications; COVID-19; Delivery UAV; Coverage path planning; Informative path planning;
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学科分类号
摘要
This article presents a comprehensive review of the state-of-the-art applications and methodologies related to the use of unmanned aerial vehicles (UAVs) in the healthcare sector, with a particular focus on path planning. UAVs have gained remarkable attention in healthcare during the outbreak of COVID-19, and this study explores their potential as a viable option for medical transportation. The survey categorizes existing studies by mission type, challenges addressed, and performance metrics to provide a clearer picture of the path planning problems and potential directions for future research. It highlights the importance of addressing the path planning problem and the challenges that UAVs may face during their missions, including the UAV delivery range limitation, and discusses recent solutions in this field. The study concludes by encouraging researchers to conduct their studies in a realistic environment to reveal UAVs’ real potential, usability, and feasibility in the healthcare domain.
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