A Lightweight Real-Time Infrared Object Detection Model Based on YOLOv8 for Unmanned Aerial Vehicles

Deploying target detection models on edge devices such as UAVs is challenging due to their limited size and computational capacity, while target detection models typically require significant computational resources. To address this issue, this study proposes a lightweight real-time infrared object...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Baolong Ding, Yihong Zhang, Shuai Ma
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-09-01
Schriftenreihe:	Drones
Schlagworte:	infrared object detection YOLOv8 UAVs lightweight network structure real-time detection
Online-Zugang:	https://www.mdpi.com/2504-446X/8/9/479
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