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UAV Task Assignment and Path Planning: Problem Definition, Integration, and Challenges.

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Τίτλος: UAV Task Assignment and Path Planning: Problem Definition, Integration, and Challenges.
Συγγραφείς: Meng, Huan1 (AUTHOR), Ding, Yan1 (AUTHOR), Xu, Xianrui2 (AUTHOR), Li, Xiang1,3 (AUTHOR) xli@geo.ecnu.edu.cn
Πηγή: Transactions in GIS. May2026, Vol. 30 Issue 3, p1-21. 21p.
Θεματικοί όροι: Robotic path planning, Flight planning (Aeronautics), Aeronautical navigation, Spatial arrangement
Περίληψη: With the growing application of unmanned aerial vehicle (UAV) systems in urban low‐altitude environments, flight optimization is becoming more large‐scale, and complex UAV collaboration is expected to dominate future airspace operations. Ensuring efficient and safe operations in complex urban environments poses significant challenges for UAV flight optimization. From a spatial optimization perspective, this article reviews recent advances in task assignment, path planning, and their integration. It summarizes representative strategies for static and dynamic task assignment, reviews path planning approaches and multi‐UAV coordination mechanisms under different spatial modeling paradigms, and analyzes integrated optimization frameworks. In addition, the applicability of different methodological categories is compared across varying problem characteristics. Finally, key challenges in current UAV flight optimization are identified, and future research directions are outlined. [ABSTRACT FROM AUTHOR]
Copyright of Transactions in GIS is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: UAV Task Assignment and Path Planning: Problem Definition, Integration, and Challenges.
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  Data: With the growing application of unmanned aerial vehicle (UAV) systems in urban low‐altitude environments, flight optimization is becoming more large‐scale, and complex UAV collaboration is expected to dominate future airspace operations. Ensuring efficient and safe operations in complex urban environments poses significant challenges for UAV flight optimization. From a spatial optimization perspective, this article reviews recent advances in task assignment, path planning, and their integration. It summarizes representative strategies for static and dynamic task assignment, reviews path planning approaches and multi‐UAV coordination mechanisms under different spatial modeling paradigms, and analyzes integrated optimization frameworks. In addition, the applicability of different methodological categories is compared across varying problem characteristics. Finally, key challenges in current UAV flight optimization are identified, and future research directions are outlined. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Transactions in GIS is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/tgis.70271
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      – Code: eng
        Text: English
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        PageCount: 21
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      – SubjectFull: Robotic path planning
        Type: general
      – SubjectFull: Flight planning (Aeronautics)
        Type: general
      – SubjectFull: Aeronautical navigation
        Type: general
      – SubjectFull: Spatial arrangement
        Type: general
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      – TitleFull: UAV Task Assignment and Path Planning: Problem Definition, Integration, and Challenges.
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            NameFull: Meng, Huan
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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