无人机医疗任务中的路径规划调查。

Survey on Path Planning for UAVs in Healthcare Missions.

机构信息

Department of Computer Science and Mathematics, University of Quebec at Chicoutimi, 555 University Boulevard, Chicoutimi, G7H 2B1, Quebec, Canada.

Department of Computer Science, International University of Beirut, Mouseitbeh, Mazraa, PO Box: 146404, Beirut, Lebanon.

出版信息

J Med Syst. 2023 Jul 27;47(1):79. doi: 10.1007/s10916-023-01972-x.

Abstract

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.

摘要

本文对与使用无人机 (UAV) 在医疗保健领域相关的最新应用和方法进行了全面回顾,重点关注路径规划。在 COVID-19 爆发期间,无人机在医疗保健领域引起了极大关注,本研究探讨了它们作为医疗运输可行选择的潜力。该调查按任务类型、解决的挑战和性能指标对现有研究进行了分类,以更清楚地了解路径规划问题和未来研究的潜在方向。它强调了解决路径规划问题以及无人机在执行任务时可能面临的挑战的重要性,包括无人机的交付范围限制,并讨论了该领域的最新解决方案。该研究最后鼓励研究人员在现实环境中进行研究,以揭示无人机在医疗保健领域的真正潜力、可用性和可行性。

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