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;
D O I
暂无
中图分类号
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.
引用
收藏
相关论文
共 50 条
  • [21] Multi-task allocation and path planning for cooperating UAVs
    Bellingham, J
    Tillerson, M
    Richards, A
    How, JP
    COOPERATIVE CONTROL: MODELS, APPLICATIONS AND ALGORITHMS, 2003, 1 : 23 - 41
  • [22] Energy-Efficient UAVs Coverage Path Planning Approach
    Ahmed, Gamil
    Sheltami, Tarek
    Mahmoud, Ashraf
    Yasar, Ansar
    CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2023, 136 (03): : 3239 - 3263
  • [23] Survey on Coverage Path Planning with Unmanned Aerial Vehicles
    Cabreira, Taua M.
    Brisolara, Lisane B.
    Paulo R., Ferreira Jr.
    DRONES, 2019, 3 (01) : 1 - 38
  • [24] A Survey of Path Following Control Strategies for UAVs Focused on Quadrotors
    Rubi, Bartomeu
    Perez, Ramon
    Morcego, Bernardo
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 98 (02) : 241 - 265
  • [25] A Survey of Path Following Control Strategies for UAVs Focused on Quadrotors
    Bartomeu Rubí
    Ramon Pérez
    Bernardo Morcego
    Journal of Intelligent & Robotic Systems, 2020, 98 : 241 - 265
  • [26] Path Planning for UAVs Under Communication Constraints Using SPLAT! and MILP
    Grotli, Esten Ingar
    Johansen, Tor Arne
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2012, 65 (1-4) : 265 - 282
  • [27] A Risk-Aware Path Planning Strategy for UAVs in Urban Environments
    Stefano Primatesta
    Giorgio Guglieri
    Alessandro Rizzo
    Journal of Intelligent & Robotic Systems, 2019, 95 : 629 - 643
  • [28] A Risk-Aware Path Planning Strategy for UAVs in Urban Environments
    Primatesta, Stefano
    Guglieri, Giorgio
    Rizzo, Alessandro
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2019, 95 (02) : 629 - 643
  • [29] 3D Path Planning for UAVs for Maximum Information Collection
    Ergezer, Halit
    Leblebicioglu, M. Kemal
    2013 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2013, : 79 - 88
  • [30] Multi-UAVs path planning for data harvesting in adversarial scenarios
    Zhou, Chengkai
    Kadhim, Kadhim Mustafa Raad
    Zheng, Xu
    COMPUTER COMMUNICATIONS, 2024, 221 : 42 - 53