In unmanned aerial vehicle(UAV)applications,efficient multi-target coverage with reliable connectivity is critical for reconnaissance,search and rescue,and environmental monitoring[1].However,real-world deployments fa...In unmanned aerial vehicle(UAV)applications,efficient multi-target coverage with reliable connectivity is critical for reconnaissance,search and rescue,and environmental monitoring[1].However,real-world deployments face two major challenges:restricted airspace(no-fly zones,NFZs)that constrain trajectories,and limited communication ranges that require team connectivity[2].Existing potential field,geometric,or decentralized connectivity methods address these objectives separately[3–5],but they struggle with scalability and fail to ensure safe and efficient coverage in dynamic NFZ environments.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.62303297,62273223,62503083,62336005,62421004,62461160313)the Shanghai Sailing Program(Grant No.23YF1413100)the Shanghai Municipal Commission of Education(Grant No.24SG38)。
文摘In unmanned aerial vehicle(UAV)applications,efficient multi-target coverage with reliable connectivity is critical for reconnaissance,search and rescue,and environmental monitoring[1].However,real-world deployments face two major challenges:restricted airspace(no-fly zones,NFZs)that constrain trajectories,and limited communication ranges that require team connectivity[2].Existing potential field,geometric,or decentralized connectivity methods address these objectives separately[3–5],but they struggle with scalability and fail to ensure safe and efficient coverage in dynamic NFZ environments.
