FogGate-YOLO: Traffic Object Detection in Foggy Environments Using Channel Selection Mechanisms

To address the challenges posed by foggy conditions in object detection tasks, we propose FogGate-YOLO, an enhanced YOLOv8 framework designed for robust and efficient detection in foggy environments. Unlike traditional methods that rely on image dehazing or preprocessing enhancements, our approach d...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Yuhe Yang, Suilian You, Jinpeng Yu, Bo Lu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-03-01
Schriftenreihe:	Sensors
Schlagworte:	foggy environment visual sensors object dection attention mechanism
Online-Zugang:	https://www.mdpi.com/1424-8220/26/6/1811
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