Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas
Complex multi-area collaborative coverage path planning in dynamic environments poses a significant challenge for multi-fixed-wing UAVs (multi-UAV). This study establishes a comprehensive framework that incorporates UAV capabilities, terrain, complex areas, and mission dynamics. A novel dynamic coll...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-05-01
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| Series: | Defence Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214914725000170 |
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| author | Mengyang Wang Dong Zhang Chaoyue Li Zhaohua Zhang |
| author_facet | Mengyang Wang Dong Zhang Chaoyue Li Zhaohua Zhang |
| author_sort | Mengyang Wang |
| collection | DOAJ |
| description | Complex multi-area collaborative coverage path planning in dynamic environments poses a significant challenge for multi-fixed-wing UAVs (multi-UAV). This study establishes a comprehensive framework that incorporates UAV capabilities, terrain, complex areas, and mission dynamics. A novel dynamic collaborative path planning algorithm is introduced, designed to ensure complete coverage of designated areas. This algorithm meticulously optimizes the operation, entry, and transition paths for each UAV, while also establishing evaluation metrics to refine coverage sequences for each area. Additionally, a three-dimensional path is computed utilizing an altitude descent method, effectively integrating two-dimensional coverage paths with altitude constraints. The efficacy of the proposed approach is validated through digital simulations and mixed-reality semi-physical experiments across a variety of dynamic scenarios, including both single-area and multi-area coverage by multi-UAV. Results show that the coverage paths generated by this method significantly reduce both computation time and path length, providing a reliable solution for dynamic multi-UAV mission planning in semi-physical environments. |
| format | Article |
| id | doaj-art-b659b88488864dee80a13adeac60ca7e |
| institution | DOAJ |
| issn | 2214-9147 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Defence Technology |
| spelling | doaj-art-b659b88488864dee80a13adeac60ca7e2025-08-20T03:09:12ZengKeAi Communications Co., Ltd.Defence Technology2214-91472025-05-014719721510.1016/j.dt.2025.01.008Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areasMengyang Wang0Dong Zhang1Chaoyue Li2Zhaohua Zhang3School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, ChinaCorresponding author.; School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi'an 710072, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi'an 710072, ChinaComplex multi-area collaborative coverage path planning in dynamic environments poses a significant challenge for multi-fixed-wing UAVs (multi-UAV). This study establishes a comprehensive framework that incorporates UAV capabilities, terrain, complex areas, and mission dynamics. A novel dynamic collaborative path planning algorithm is introduced, designed to ensure complete coverage of designated areas. This algorithm meticulously optimizes the operation, entry, and transition paths for each UAV, while also establishing evaluation metrics to refine coverage sequences for each area. Additionally, a three-dimensional path is computed utilizing an altitude descent method, effectively integrating two-dimensional coverage paths with altitude constraints. The efficacy of the proposed approach is validated through digital simulations and mixed-reality semi-physical experiments across a variety of dynamic scenarios, including both single-area and multi-area coverage by multi-UAV. Results show that the coverage paths generated by this method significantly reduce both computation time and path length, providing a reliable solution for dynamic multi-UAV mission planning in semi-physical environments.http://www.sciencedirect.com/science/article/pii/S2214914725000170Multi-fixed-wing UAVs (multi-UAV)Minimum time cooperative coverageDynamic complete coverage path planning (DCCPP)Dubins curvesImproved dynamic programming algorithm (IDP) |
| spellingShingle | Mengyang Wang Dong Zhang Chaoyue Li Zhaohua Zhang Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas Defence Technology Multi-fixed-wing UAVs (multi-UAV) Minimum time cooperative coverage Dynamic complete coverage path planning (DCCPP) Dubins curves Improved dynamic programming algorithm (IDP) |
| title | Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas |
| title_full | Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas |
| title_fullStr | Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas |
| title_full_unstemmed | Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas |
| title_short | Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas |
| title_sort | multiple fixed wing uavs collaborative coverage 3d path planning method for complex areas |
| topic | Multi-fixed-wing UAVs (multi-UAV) Minimum time cooperative coverage Dynamic complete coverage path planning (DCCPP) Dubins curves Improved dynamic programming algorithm (IDP) |
| url | http://www.sciencedirect.com/science/article/pii/S2214914725000170 |
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