A real-time fire and flame detection method for electric vehicle charging station based on machine vision-Reference-Cited by-同舟云学术

A real-time fire and flame detection method for electric vehicle charging station based on machine vision

Published:2023-03-28 Issue:2 Volume:20 Page:
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Gao Dexin,Zhang Shiyu,Ju Yifan,Yang Qing

Funder

the Key Research and Development Projects of Shandong Province

the Natural Science Foundation of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11554-023-01293-9.pdf

Reference24 articles.

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2. Zhou, Y.T., Dai, J., Yuan, H.L., et al.: Demand forecasting and planning layout of urban electric vehicle charging facilities. Power Syst. Prot. Control 49(24), 177–187 (2021)

3. Wang, H.F., Zhang, Y., Fan, X.: Rapid early fire smoke detection system using slope fitting in video image histogram. Fire Technol. 56(2), 695–714 (2020)

4. Fan, Y.Z., Ma, H.B.: Video based forest-fire smoke detection. Tsinghua Univ. (Sci. Technol.) 55(02), 243–250+256 (2015)

5. Wu, H.X., Lu, X.B., Henry, L.: A video based fire smoke detection using robust AdaBoost. Sensors 18(11), 3780–3780 (2018)

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