Cargando…
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...
Autores principales: | Liu, Zhaohui, He, Yongjiang, Wang, Chao, Song, Runze |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014178/ https://www.ncbi.nlm.nih.gov/pubmed/31936287 http://dx.doi.org/10.3390/s20020349 |
Ejemplares similares
-
Research on Driving Obstacle Detection Technology in Foggy Weather Based on GCANet and Feature Fusion Training
por: Liu, Zhaohui, et al.
Publicado: (2023) -
Insulator Umbrella Disc Shedding Detection in Foggy Weather
por: Xin, Rui, et al.
Publicado: (2022) -
Deep Camera–Radar Fusion with an Attention Framework for Autonomous Vehicle Vision in Foggy Weather Conditions
por: Ogunrinde, Isaac, et al.
Publicado: (2023) -
Improvement of driver night vision in foggy environments by structured light projection
por: Quintana Benito, Jaime, et al.
Publicado: (2022) -
3D Object Detection with SLS-Fusion Network in Foggy Weather Conditions
por: Mai, Nguyen Anh Minh, et al.
Publicado: (2021)