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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Vydané v:	Sensors (Basel, Switzerland) Ročník 20; číslo 2; s. 349
Hlavní autori:	Liu, Zhaohui, He, Yongjiang, Wang, Chao, Song, Runze
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 08.01.2020 MDPI
Predmet:	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
On-line prístup:	Získať plný text
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