Random-sampling-based multi-UAV cooperative search planning for high-rise firefighting-Reference-Cited by-同舟云学术

Random-sampling-based multi-UAV cooperative search planning for high-rise firefighting

Published:2022-09-01 Issue:9 Volume:52 Page:1610
ISSN:1674-7267
Container-title:SCIENTIA SINICA Informationis
language:en
Short-container-title:Sci. Sin.-Inf.

Author:

李鸿一,陈锦涛,任鸿儒,鲁仁全

Publisher

Science China Press., Co. Ltd.

Subject

Engineering (miscellaneous),General Computer Science

Link

https://engine.scichina.com/doi/pdf/F33A2114181D42D49E26B1548A55F7E6

Reference19 articles.

1. Wang Y. Building Fire Fighting and Emergency Rescue. Beijing: People's Public Security University of China Press, 2015.

2. Hu Y L, Wang F Y, Liu X W. ACP-based research on evacuation strategies for high-rise building fire. Acta Autom Sin, 2014, 40: 185--196.

3. Lu Y. Design practice of high-rise fire protection products based on user psychology model-taking fire man machine as an example. Dissertation for M.S. Degree. Wuhan: Hubei University of Technology, 2019.

4. Pecho P, Magdolenová P, Bugaj M. Unmanned aerial vehicle technology in the process of early fire localization of buildings. Transpation Res Procedia, 2019, 40: 461-468.

5. Lambert K, Merci B, Gryspeert C. Search & rescue operations during interior firefighting: A study into crawling speeds. Fire Saf J, 2021, 121:

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