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Peer-reviewedCC BY 4.0Scientific Reports

Coupling calibrated aerial perception to adaptive UAV emergency logistics scheduling: a YOLOv8–reinforcement learning closed-loop proof of concept

  • Chunsheng Zhang
  • Ruichun He
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{zhang2026coupling,
  title = {{Coupling calibrated aerial perception to adaptive UAV emergency logistics scheduling: a YOLOv8–reinforcement learning closed-loop proof of concept}},
  author = {Chunsheng Zhang and Ruichun He},
  journal = {Scientific Reports},
  year = {2026},
  month = nov,
  doi = {10.1038/s41598-026-77871-1},
  url = {https://www.nature.com/articles/s41598-026-77871-1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Coupling calibrated aerial perception to adaptive UAV emergency logistics scheduling: a YOLOv8–reinforcement learning closed-loop proof of concept
AU  - Chunsheng Zhang
AU  - Ruichun He
PY  - 2026
DA  - 2026/11/06
JO  - Scientific Reports
DO  - 10.1038/s41598-026-77871-1
UR  - https://www.nature.com/articles/s41598-026-77871-1
SN  - 2045-2322
ER  -