Papers Fire Detection
“Fire Detection” 태그가 달린 논문 74편 · 필터 해제
HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data
The increasing frequency and severity of climate related disasters have intensified the need for real time monitoring, early warning, and informed decision-making. Earth Observation (EO), powered by satellite data and Ma…
Fire DetectionIntelligent Spatial Estimation for Fire Hazards in Engineering Sites: An Enhanced YOLOv8-Powered Proximity Analysis Framework
This study proposes an enhanced dual-model YOLOv8 framework for intelligent fire detection and proximity-aware risk assessment, extending conventional vision-based monitoring beyond simple detection to actionable hazard …
Instance SegmentationObject DetectionFire DetectionDeep Learning Based Wildfire Detection for Peatland Fires Using Transfer Learning
Machine learning (ML)-based wildfire detection methods have been developed in recent years, primarily using deep learning (DL) models trained on large collections of wildfire images and videos. However, peatland fires ex…
Transfer LearningFire DetectionDetection Fire in Camera RGB-NIR
Improving the accuracy of fire detection using infrared night vision cameras remains a challenging task. Previous studies have reported strong performance with popular detection models. For example, YOLOv7 achieved an mA…
Data AugmentationFire DetectionSCU-CGAN: Enhancing Fire Detection through Synthetic Fire Image Generation and Dataset Augmentation
Fire has long been linked to human life, causing severe disasters and losses. Early detection is crucial, and with the rise of home IoT technologies, household fire detection systems have emerged. However, the lack of su…
Image GenerationFire DetectionNear--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learning
Ongoing armed conflict in Sudan highlights the need for rapid monitoring of conflict-related fire-affected areas. Recent advances in deep learning and high-frequency satellite imagery enable near--real-time assessment of…
Fire DetectionPyroFocus: A Deep Learning Approach to Real-Time Wildfire Detection in Multispectral Remote Sensing Imagery
Rapid and accurate wildfire detection is crucial for emergency response and environmental management. In airborne and spaceborne missions, real-time algorithms must distinguish between no fire, active fire, and post-fire…
Fire DetectionExploring State-of-the-art models for Early Detection of Forest Fires
There have been many recent developments in the use of Deep Learning Neural Networks for fire detection. In this paper, we explore an early warning system for detection of forest fires. Due to the lack of sizeable datase…
Image ClassificationFire DetectionThrough-Foliage Surface-Temperature Reconstruction for Early Wildfire Detection
We present a method to reconstruct surface temperatures through forest vegetation by combining signal processing and machine learning, enabling fully automated aerial wildfire monitoring with drones for early fire detect…
Fire DetectionAdvancing Forest Fires Classification using Neurochaos Learning
Forest fires are among the most dangerous and unpredictable natural disasters worldwide. Forest fire can be instigated by natural causes or by humans. They are devastating overall, and thus, many research efforts have be…
Fire DetectionAeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios
Drone fleets equipped with onboard cameras, computer vision, and Deep Neural Network (DNN) models present a powerful paradigm for real-time spatio-temporal decision-making. In wildfire response, such drones play a pivota…
Fire DetectionLeveraging Wireless Sensor Networks for Real-Time Monitoring and Control of Industrial Environments
This research proposes an extensive technique for monitoring and controlling the industrial parameters using Internet of Things (IoT) technology based on wireless communication. We proposed a system based on NRF transcei…
Fire DetectionReliable Smoke Detection via Optical Flow-Guided Feature Fusion and Transformer-Based Uncertainty Modeling
Fire outbreaks pose critical threats to human life and infrastructure, necessitating high-fidelity early-warning systems that detect combustion precursors such as smoke. However, smoke plumes exhibit complex spatiotempor…
Optical Flow EstimationFire DetectionMFGDiffusion: Mask-Guided Smoke Synthesis for Enhanced Forest Fire Detection
Smoke is the first visible indicator of a wildfire.With the advancement of deep learning, image-based smoke detection has become a crucial method for detecting and preventing forest fires. However, the scarcity of smoke …
Fire DetectionImage GenerationLarge Language ModelMultimodal Large Language ModelUAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning
We present UAV-CodeAgents, a scalable multi-agent framework for autonomous UAV mission generation, built on large language and vision-language models (LLMs/VLMs). The system leverages the ReAct (Reason + Act) paradigm to…
Fire DetectionLight-YOLOv8-Flame: A Lightweight High-Performance Flame Detection Algorithm
Fire detection algorithms, particularly those based on computer vision, encounter significant challenges such as high computational costs and delayed response times, which hinder their application in real-time systems. T…
Fire DetectionComparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data
Multiple studies have performed next-day fire prediction using satellite imagery. Two main satellites are used to detect wildfires: MODIS and VIIRS. Both satellites provide fire mask products, called MOD14 and VNP14, res…
Fire DetectionAccident Detection Management System Project Report II
This project presents review on the accident detection techniques and fire detection in vehicles. Now-a-days lots of accidents happen on highways due to increase in traffic and also due to rash driving of the drivers. An…
Fire DetectionManagementForestProtector: An IoT Architecture Integrating Machine Vision and Deep Reinforcement Learning for Efficient Wildfire Monitoring
Early detection of forest fires is crucial to minimizing the environmental and socioeconomic damage they cause. Indeed, a fire's duration directly correlates with the difficulty and cost of extinguishing it. For instance…
Deep Reinforcement LearningFire DetectionTS-SatFire: A Multi-Task Satellite Image Time-Series Dataset for Wildfire Detection and Prediction
Wildfire monitoring and prediction are essential for understanding wildfire behaviour. With extensive Earth observation data, these tasks can be integrated and enhanced through multi-task deep learning models. We present…
Earth ObservationFire DetectionPredictionTime Series