The detection of infrared vehicle targets by UAVs poses significant challenges in the
presence of complex ground backgrounds, high target density, and a large proportion of …

A lightweight infrared target detection model, G-YOLO, based on an unmanned aerial
vehicle (UAV) is proposed to address the issues of low accuracy in target detection of UAV …

In the field of object detection, deep learning models have achieved great success in recent
years. Despite these advances, detecting small objects remains difficult. Most objects in …

We present MONET, a new multimodal dataset captured using a thermal camera mounted
on a drone that flew over rural areas, and recorded human and vehicle activities. We …

This paper presents an infrared small object detection algorithm based on YOLOv8n to
address challenges like large model size, complex backgrounds, poor small object …

The investigation of the feasibility of using the YOLO (You Only Look Once) architecture for
object detection in infrared images from unmanned aerial vehicles (UAVs) on low-power …

In an era marked by the pervasive integration of technology into various domains, the
foremost imperative becomes ensuring the protection of network security against …

Drones are unmanned aerial vehicles (UAV) that have entered the field of surveying
engineering with the rapid development of science and technology. The important factor in …

Drones are unmanned aerial vehicles (UAV) that have entered the field of surveying
engineering with the rapid development of science and technology. The important factor in …