Fire detection and ranging method based on binocular vision

doi:10.13474/j.cnki.11-2246.2025.0905

Abstract

Abstract: Forest and grassland fires have become a serious public safety issue in today's society,often leading to significant casualties and property losses.This paper proposes a fire target ranging method that combines object detection with stereo matching to achieve the identification and localization of fire targets.The method utilizes a three-layer SGBM algorithm in conjunction with YOLOv5 object detection,applying WLS filtering and optimizing the depth information of targets at different scales to enhance the accuracy and stability of large-scale depth images.Experimental results show the system has high accuracy.When the detected target proportion in testing distance is within 4%,the improved SGBM algorithm achieves high precision,with the relative positioning error kept within 2%.The proposed method exhibits high accuracy and reliability,making it applicable to fire monitoring,early warning,firefighting,and rescue operations in forest and grassland areas.

Key words: forest and grassland fires, fire ranging, binocular vision, object detection, stereo matching

CLC Number:

P237

ZHU Yuancai, SUN Liying, ZHANG Fan, WU Zhaoli, GAO Xiangdong, JIN Lei, LI Xiaodong, LI Ruoyu. Fire detection and ranging method based on binocular vision[J]. Bulletin of Surveying and Mapping, 2025, 0(9): 26-33.

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