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...
Main Authors: | Zhaohui Liu, Yongjiang He, Chao Wang, Runze Song |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/2/349 |
Similar Items
-
Multi-Task Learning for UAV Aerial Object Detection in Foggy Weather Condition
by: Wenxuan Fang, et al.
Published: (2023-09-01) -
3D Object Detection with SLS-Fusion Network in Foggy Weather Conditions
by: Nguyen Anh Minh Mai, et al.
Published: (2021-10-01) -
Research on Driving Obstacle Detection Technology in Foggy Weather Based on GCANet and Feature Fusion Training
by: Zhaohui Liu, et al.
Published: (2023-03-01) -
Domain Adaptation and Adaptive Information Fusion for Object Detection on Foggy Days
by: Zhe Chen, et al.
Published: (2018-09-01) -
Acute Foggy Corneal Epithelial Disease: Seeking Clinical Features and Risk Factors
by: Fei Li, et al.
Published: (2022-08-01)