Analysis of the Influence of Foggy Weather Environment on the Detection Effect of Machine Vision Obstacles

This study is to analyze the influence of visibility in a foggy weather environment on the accuracy of machine vision obstacle detection in assisted driving. We present a foggy day imaging model and analyze the image characteristics, then we set up the faster region convolutional neural network (Fas...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 20; H. 2; S. 349
Hauptverfasser:	Liu, Zhaohui, He, Yongjiang, Wang, Chao, Song, Runze
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 08.01.2020 MDPI
Schlagworte:	Accuracy Classification faster r-cnn Fatalities Fog foggy environment intelligent vehicles machine vision Neural networks object recognition Rain Sensors Traffic accidents & safety Vision systems object recognition faster R-CNN foggy environment intelligent vehicles machine vision
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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