Work

VIF-YOLO: A Visible-Infrared Fusion YOLO Model for Real-Time Human Detection in Dense Smoke Environments

Year: 2025

Type: article

Abstract: In fire rescue scenarios, traditional manual operations are highly dangerous, as dense smoke, low visibility, extreme heat, and toxic gases not only hinder rescue efficiency but also endanger firefighters’ safety. Although ... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.074682

Authors: Wenhe Chen, Yue Wang, Shuonan Shen, Leer Hua, Caixia Zheng, Qi Pu, Xundiao Ma

Institutions: Northeast Normal University, Qujing Normal University, Jiangsu University of Technology

Language: English

Topic: Fire Detection and Safety Systems

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7116074526

FWCI: 1.191

Cites:

Cited by: 2

Related to: