Vision-Based Modal Survey of Civil Infrastructure Using Unmanned Aerial Vehicles-Reference-Cited by-同舟云学术

Vision-Based Modal Survey of Civil Infrastructure Using Unmanned Aerial Vehicles

Published:2019-07 Issue:7 Volume:145 Page:04019062
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Hoskere Vedhus¹^ORCID,Park Jong-Woong²,Yoon Hyungchul³,Spencer Billie F.⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana–Champaign, Champaign, IL 61801. ORCID: .

2. Assistant Professor, School of Civil and Environmental Engineering, Urban Design and Studies, Chung-Ang Univ., Seoul 06974, Republic of Korea (corresponding author).

3. Assistant Professor, School of Civil Engineering, Chungbuk National Univ., Cheongju 28356, South Korea.

4. Nathan M. Newmark Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana–Champaign, Champaign, IL 61801.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ST.1943-541X.0002321

Reference36 articles.

1. ASCE. 2017. “ASCE’s 2017 infrastructure report card: Structurally deficient bridges.” Accessed October 11 2017. https://www.infrastructurereportcard.org/cat-item/bridges/.

2. Output-only computer vision based damage detection using phase-based optical flow and unscented Kalman filters

3. An integrated visual-inertial technique for structural displacement and velocity measurement

4. Video Camera–Based Vibration Measurement for Civil Infrastructure Applications

5. Modal identification of simple structures with high-speed video using motion magnification

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