Research on Deep Learning Model of Fog Visibility Estimation Based on CNN

Junling Wang; Lijing Zhang

doi:10.1109/IMCEC51613.2021.9482258

Research on Deep Learning Model of Fog Visibility Estimation Based on CNN

Junling Wang, Lijing Zhang

College of Safety Science and Engineering

Nanjing Tech University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Visibility prediction is an important subject of transportation safety research. At present, traditional sensing technology based on fog visibility prediction has problems such as large errors, high prices, and single-point monitoring defects. This article extracts airport video surveillance videos and extracts Frame extraction pictures, import the convolutional neural network deep learning model to identify the selected pictures, and evaluate the accuracy of the model, and its prediction accuracy meets the requirements of visibility prediction.

Original language	English
Title of host publication	IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference
Editors	Bing Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1355-1359
Number of pages	5
ISBN (Electronic)	9781728185347
DOIs	https://doi.org/10.1109/IMCEC51613.2021.9482258
State	Published - 18 Jun 2021
Event	4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021 - Chongqing, China Duration: 18 Jun 2021 → 20 Jun 2021

Publication series

Name	IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference
ISSN (Print)	2693-2814
ISSN (Electronic)	2693-2776

Conference

Conference	4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021
Country/Territory	China
City	Chongqing
Period	18/06/21 → 20/06/21

Keywords

convolutional Neural Network
deep learning
frame draw
visibility forecast

Access to Document

10.1109/IMCEC51613.2021.9482258

Cite this

Wang, J., & Zhang, L. (2021). Research on Deep Learning Model of Fog Visibility Estimation Based on CNN. In B. Xu (Ed.), IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (pp. 1355-1359). (IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMCEC51613.2021.9482258

Wang, Junling ; Zhang, Lijing. / Research on Deep Learning Model of Fog Visibility Estimation Based on CNN. IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference. editor / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 1355-1359 (IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference).

@inproceedings{1401a763972349f9903c9ae8d7eb5bff,

title = "Research on Deep Learning Model of Fog Visibility Estimation Based on CNN",

abstract = "Visibility prediction is an important subject of transportation safety research. At present, traditional sensing technology based on fog visibility prediction has problems such as large errors, high prices, and single-point monitoring defects. This article extracts airport video surveillance videos and extracts Frame extraction pictures, import the convolutional neural network deep learning model to identify the selected pictures, and evaluate the accuracy of the model, and its prediction accuracy meets the requirements of visibility prediction.",

keywords = "convolutional Neural Network, deep learning, frame draw, visibility forecast",

author = "Junling Wang and Lijing Zhang",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021 ; Conference date: 18-06-2021 Through 20-06-2021",

year = "2021",

month = jun,

day = "18",

doi = "10.1109/IMCEC51613.2021.9482258",

language = "英语",

series = "IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1355--1359",

editor = "Bing Xu",

booktitle = "IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference",

address = "美国",

}

Wang, J & Zhang, L 2021, Research on Deep Learning Model of Fog Visibility Estimation Based on CNN. in B Xu (ed.), IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference. IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 1355-1359, 4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021, Chongqing, China, 18/06/21. https://doi.org/10.1109/IMCEC51613.2021.9482258

Research on Deep Learning Model of Fog Visibility Estimation Based on CNN. / Wang, Junling; Zhang, Lijing.
IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference. ed. / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1355-1359 (IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on Deep Learning Model of Fog Visibility Estimation Based on CNN

AU - Wang, Junling

AU - Zhang, Lijing

PY - 2021/6/18

Y1 - 2021/6/18

N2 - Visibility prediction is an important subject of transportation safety research. At present, traditional sensing technology based on fog visibility prediction has problems such as large errors, high prices, and single-point monitoring defects. This article extracts airport video surveillance videos and extracts Frame extraction pictures, import the convolutional neural network deep learning model to identify the selected pictures, and evaluate the accuracy of the model, and its prediction accuracy meets the requirements of visibility prediction.

AB - Visibility prediction is an important subject of transportation safety research. At present, traditional sensing technology based on fog visibility prediction has problems such as large errors, high prices, and single-point monitoring defects. This article extracts airport video surveillance videos and extracts Frame extraction pictures, import the convolutional neural network deep learning model to identify the selected pictures, and evaluate the accuracy of the model, and its prediction accuracy meets the requirements of visibility prediction.

KW - convolutional Neural Network

KW - deep learning

KW - frame draw

KW - visibility forecast

UR - http://www.scopus.com/inward/record.url?scp=85116129431&partnerID=8YFLogxK

U2 - 10.1109/IMCEC51613.2021.9482258

DO - 10.1109/IMCEC51613.2021.9482258

M3 - 会议稿件

AN - SCOPUS:85116129431

T3 - IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference

SP - 1355

EP - 1359

BT - IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference

A2 - Xu, Bing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021

Y2 - 18 June 2021 through 20 June 2021

ER -

Wang J, Zhang L. Research on Deep Learning Model of Fog Visibility Estimation Based on CNN. In Xu B, editor, IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1355-1359. (IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference). doi: 10.1109/IMCEC51613.2021.9482258

Research on Deep Learning Model of Fog Visibility Estimation Based on CNN

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this