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Object Detection Method Based on Polarimetric Features and PFOD-Net Under Adverse Weather Conditions

To address insufficient real-time detection accuracy of standard YOLO models under adverse weather, we propose PFOD-Net, a multi-scale detector based on polarimetric features and an improved YOLOv8n. Compared with traditional intensity imaging, polarimetric imaging extracts optical information from...

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Principais autores: Xingtao Li, Wenjuan Li, Xiaoyao Yan, Weifeng Wang, Fan Bu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-02-01
Serier:Applied Sciences
Fag:
object detection
polarimetric features
multi-scale feature fusion
GhostNet
Online adgang:https://www.mdpi.com/2076-3417/16/4/1698
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