Machine Learning Approach to Visual Bridge Inspection with Drones-Reference-Cited by-同舟云学术

Machine Learning Approach to Visual Bridge Inspection with Drones

Published:2022-04-18 Issue: Volume: Page:
ISSN:
Container-title:Structures Congress 2022
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Author:

Seo Junwon¹²³,Jeong Euiseok¹²³,Wacker James P.¹²³

Affiliation:

1. Associate Professor (with Tenure) and Chairman of ASCE Timber Bridges Committee, Dept. of Civil and Environmental Engineering, South Dakota State Univ., Brookings, SD.

2. Research Assistant, Dept. of Civil and Environmental Engineering, South Dakota State Univ., Brookings, SD.

3. Research Engineer, Forest Service, US Forest Products Lab, Madison, WI.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784484180.013

Reference27 articles.

1. Duque L. Seo J. and Wacker J. P. (2018a). “Timber Bridge Inspection Using UAV.” Structures Congress 2018 Fort Worth TX 186–196.

2. Synthesis of Unmanned Aerial Vehicle Applications for Infrastructures

3. Bridge Deterioration Quantification Protocol Using UAV

4. FHWA (Federal Highway Administration). (1995). Recording and Coding Guide for the Structure Inventory and Appraisal of the Nation’s Bridges. US DOT FHWA, Washington, DC, 124.

5. FHWA (Federal Highway Administration). (2012). Recording and Coding Guide for the Structure Inventory and Appraisal of the Nation’s Bridges. US DOT FHWA, Washington, DC, 124.

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