Multi-Cloud Path Planning of Unmanned Aerial Vehicles with Multi-Criteria Decision Making: A Literature Review

Santhi, K.; Valarmathi, B.; Chellatamilan, T.

doi:10.1007/978-3-030-74402-1_3

Cited by 2 publications

(1 citation statement)

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“…As a technical challenge for drone-based delivery systems, [57] reviewed papers about UAV path planning, concluding that the stability and efficiency of UAV operation necessitate algorithms with obstacle avoidance as well as improved trajectory control. In [71], representative, coordination, and non-coordination methods were proposed to design cost-effective and energy-efficient paths for drone delivery. Some surveys conclude that shortcomings of technical support could not guarantee the service level, limiting drone applications.…”

Section: A Path Planningmentioning

confidence: 99%

AERIAL: A Meta Review and Discussion of Challenges Toward Unmanned Aerial Vehicle Operations in Logistics, Mobility, and Monitoring

Wandelt,

Wang,

Zheng

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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There exists a tremendous number of research surveys on various aspects of UAV logistics, mobility and monitoring tasks in the literature. These surveys have been published in distinct venues, often having a significant overlap in goals and key findings. In this study, we provide a meta review across nearly 100 extant UAV surveys and overview papers, extract their key messages, and investigate the extent of being complementary. We develop the AERIAL framework, which aggregates the major challenges on the way to a successful application of UAVs for logistics, mobility, and monitoring. We believe that AERIAL framework and meta review contribute towards a clearer understanding of the scientific UAV landscape challenges and the identification of potential directions for future research studies.

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Section: A Path Planningmentioning

confidence: 99%