Bridge Deformation Measurement Using Unmanned Aerial Dual Camera and Learning-Based Tracking Method. (17th April 2023)
- Record Type:
- Journal Article
- Title:
- Bridge Deformation Measurement Using Unmanned Aerial Dual Camera and Learning-Based Tracking Method. (17th April 2023)
- Main Title:
- Bridge Deformation Measurement Using Unmanned Aerial Dual Camera and Learning-Based Tracking Method
- Authors:
- Jiang, Shang
Zhang, Jian
Gao, Chenhao - Other Names:
- Cha Young-Jin Academic Editor.
- Abstract:
- Abstract : Bridge deformation response data are the basis for calculating the dynamic parameters of the bridge, and it is of great significance to accurately measure the deformation response of the bridge during the load test and service conditions. A bridge deformation measurement method using an unmanned aerial system (UAS) with dual cameras and a deep learning-based object tracking method is proposed to measure the bridge deformation. The contributions are as follows: (1) To address the problem that the movement of the UAS brings error to the deformation measurement results, dual cameras with telephoto and wide-angle lenses are used to simultaneously capture the deformed points and stable points on the bridge, so as to simultaneously measure the deformation of the bridge and the displacement of the UAS, and then the displacement of UAS is eliminated by using the homography relationship between the two cameras. (2) To solve the problem that the traditional digital image correlation-based displacement measurement method is easily disturbed by factors such as light changes and occlusion, a displacement calculation method based on object detection network and target tracking algorithm is proposed to achieve the stable target displacement measurement. Finally, the proposed method was verified in a laboratory test and applied to the deformation measurement of an in-service bridge to verify the practicability of the proposed method.
- Is Part Of:
- Structural control and health monitoring. Volume 2023(2023)
- Journal:
- Structural control and health monitoring
- Issue:
- Volume 2023(2023)
- Issue Display:
- Volume 2023, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 2023
- Issue:
- 2023
- Issue Sort Value:
- 2023-2023-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-04-17
- Subjects:
- Structural engineering -- Periodicals
Structural control (Engineering) -- Periodicals
Automatic data collection systems -- Periodicals
Detectors -- Periodicals
624.17 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1155/2023/4752072 ↗
- Languages:
- English
- ISSNs:
- 1545-2255
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8476.924000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 27142.xml