Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features-Reference-Cited by-同舟云学术

Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features

Published:2021-07-05 Issue:5 Volume:25 Page:513-532
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Khan Md Nasim¹^ORCID,Das Anik¹^ORCID,Ahmed Mohamed M.¹^ORCID,Wulff Shaun S.²^ORCID

Affiliation:

1. Department of Civil & Architectural Engineering, University of Wyoming, Laramie, WY, USA

2. Department of Mathematics & Statistics, University of Wyoming, Laramie, WY, USA

Funder

the Federal Highway Administration (FHWA) in cooperation with the American Association of State Highway and Transportation Officials (AASHTO) and the Wyoming Department of Transportation

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2021.1944860

Reference59 articles.

1. Ahmed, M. M., Ghasemzadeh, A., Hammit, B., Khan, M. N., Das, A., Ali, E., Young, R. K. & Eldeeb, H. (2018). Driver performance and behavior in adverse weather conditions: An investigation Using the SHRP2 naturalistic driving study data-Phase 2 (Final Report WY-18/05F). U.S Department of Transportation.

2. Ahmed, M. M., Young, R. K., Ghasemzadeh, A., Hammit, B., Ali, E., Khan, M. N., Das, A. & Eldeeb, H. (2017). Implementation of SHRP2 results within the Wyoming connected vehicle variable speed limit system: Phase 2 early findings report and phase 3 proposal. U.S Department of Transportation.

3. Face Description with Local Binary Patterns: Application to Face Recognition

4. A two-stage-training support vector machine approach to predicting unintentional vehicle lane departure

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