Fire Detection and Spatial Localization Approach for Autonomous Suppression Systems Based on Artificial Intelligence-Reference-Cited by-同舟云学术

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Fire Detection and Spatial Localization Approach for Autonomous Suppression Systems Based on Artificial Intelligence

Published:2023-06-14 Issue:5 Volume:59 Page:2621-2644
ISSN:0015-2684
Container-title:Fire Technology
language:en
Short-container-title:Fire Technol

Author:

Latif Afsah,Chung Hyun^ORCID

Funder

Institute of Civil-Military Technology Cooperation

Korea Institute of Energy Technology Evaluation and Planning

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,General Materials Science,Building and Construction

Link

https://link.springer.com/content/pdf/10.1007/s10694-023-01426-3.pdf

Reference47 articles.

1. Muhammad K, Ahmad J, Baik SW (2018) Early fire detection using convolutional neural networks during surveillance for effective disaster management. Neurocomputing 288:30–42. https://doi.org/10.1016/j.neucom.2017.04.083

2. Muhammad K, Ahmad J, Lv Z, Bellavista P, Yang P, Baik SW (2019) Efficient deep CNN-based fire detection and localization in video surveillance applications. IEEE Trans Syst Man Cybern Syst 49(7):1419–1434. https://doi.org/10.1109/TSMC.2018.2830099

3. Chen TH, Wu PH, Chiou YC (2004) An early fire-detection method based on image processing. Proc Int Conf Image Process ICIP 3:1707–1710. https://doi.org/10.1109/ICIP.2004.1421401

4. Guo BHW, Zou Y, Fang Y, Goh YM, Zou PXW (2021) Computer vision technologies for safety science and management in construction: a critical review and future research directions. Saf Sci 135:105130. https://doi.org/10.1016/j.ssci.2020.105130

5. Pustokhina IV, Pustokhin DA, Vaiyapuri T, Gupta D, Kumar S, Shankar K (2021) An automated deep learning based anomaly detection in pedestrian walkways for vulnerable road users safety. Saf Sci 142:105356. https://doi.org/10.1016/j.ssci.2021.105356

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1. Automatic real-time fire distance, size and power measurement driven by stereo camera and deep learning;Fire Safety Journal;2023-10

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