A Convolutional Neural Network Model for Identifying Unclassified and Misclassified Vehicles Using Spatial Pyramid Pooling-Reference-Cited by-同舟云学术

A Convolutional Neural Network Model for Identifying Unclassified and Misclassified Vehicles Using Spatial Pyramid Pooling

Published:2022-03-07 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2022
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Author:

Bao Jieyi¹²²³,Hu Xiaoqiang¹²²³,Jiang Yi¹²²³,Li Shuo¹²²³

Affiliation:

1. School of Construction Management Technology, Purdue Univ., West Lafayette, IN. ORCID: https://orcid.org/0000-0002-4677-4664.

2. School of Construction Management Technology, Purdue Univ., West Lafayette, IN.

3. Division of Research and Development, Indiana Dept. of Transportation, West Lafayette, IN.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784483961.100

Reference18 articles.

1. AASHTO. (2008). Mechanistic-empirical pavement design guide, interim edition: A manual of practice. Washington, DC: American Association of State Highway and Transportation Offical (AASHTO), US Department of Transportation. Retrieved March 8, 2021 from https://www.fhwa.dot.gov/pavement/materials/hmec/pubs/module_e/participant_workbook.pdf.

2. Bao J. Hu X. Peng C. Jiang Y. Li S. and Nantung T. (2020). Truck traffic and load spectra of Indiana roadways for the mechanistic-empirical pavement design guide. Joint Transportation Research Program Publication No. FHWA/IN/JTRP-2020/21. West Lafayette IN: Purdue University. https://doi.org/10.5703/1288284317227.

3. A novel model based on adaboost and deep cnn for vehicle classification;Chen W. E. I.;IEEE Access,2018

4. A gaussian mixture model and support vector machine approach to vehicle type and colour classification;Chen Z.;IET intelligent transportation systems,2014

5. A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data;Dabiri S.;Transportation Research: Part C,2020

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