Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 40 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

An agentic multi-drone framework for autonomous multi-accident detection, reasoning, and response

Related

  1. Traffic surveillance video-based a unified road accident detection, classification, and vehicle tracking framework using an optimized spatio-temporal attention mechanism
    Chokkakula Devi, Gowri S.
    PLOS OnePeer-reviewedCC BY 4.0Full textEpidemiology & public healthPLOS
  2. Teacher-student-machine interaction autonomous learning: a structured LLM-integrated framework for developing independent clinical reasoning in residency training.
    Pengru Wang, He Li, Dingyuan Tu +7
    BMC medical educationPeer-reviewedCC BY-NC-NDFull textEpidemiology & public healthEurope PMCPMC
  3. A Fermatean fuzzy CRITIC WASPAS framework for conflict detection in autonomous drone navigation
    Wei Zhang
    Scientific ReportsPeer-reviewedCC BY 4.0NatureCrossref
  4. Agentic AI for Scientific Reasoning in Autonomous Quantum Sensing Experiments
    Takuya Isogawa, Ryotaro Okabe, Nutdech Phadetsuwannukun +2
    arXiv (Cornell University)PreprintLicence not statedFull text9 citedMaterials & polymersOpenAlex
  5. An explainable two stage framework for spatial temporal traffic accident prediction and injury severity classification
    Yahui Wang, Yue He, Zhoushuo Liang +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
BibTeX
@article{ahmed2026agentic,
  title = {{An agentic multi-drone framework for autonomous multi-accident detection, reasoning, and response}},
  author = {Afaq Ahmed and Hassan Eesaar and Muhammad Farhan and Yong-Suk Yoo and Deok-Jin Lee},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74192-1},
  url = {https://www.nature.com/articles/s41598-026-74192-1},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - An agentic multi-drone framework for autonomous multi-accident detection, reasoning, and response
AU  - Afaq Ahmed
AU  - Hassan Eesaar
AU  - Muhammad Farhan
AU  - Yong-Suk Yoo
AU  - Deok-Jin Lee
PY  - 2026
DA  - 2026/10/14
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74192-1
UR  - https://www.nature.com/articles/s41598-026-74192-1
SN  - 2045-2322
ER  -