A novel portable vision-based bridge weigh in motion method
|
|
|||||||||||
Bibliographic Details
| Author(s): |
Yupeng Ji
(College of Civil Engineering, Tongji University, Shanghai, China)
Dalei Wang (College of Civil Engineering, Tongji University, Shanghai, China) Jiucai Liu (College of Civil Engineering, Tongji University, Shanghai, China) Yue Pan (College of Electronic and Information Engineering, Tongji University, Shanghai, China) |
||||
|---|---|---|---|---|---|
| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022 | ||||
| Published in: | IABSE Congress Nanjing 2022 | ||||
|
|||||
| Page(s): | 1288-1294 | ||||
| Total no. of pages: | 7 | ||||
| DOI: | 10.2749/nanjing.2022.1288 | ||||
| Abstract: |
Accurate vehicle load information is critical for bridge maintenance. On the one hand, traditional weigh-in-motion (WIM) and bridge weigh-in-motion (BWIM) have certain limitations due to their high cost and complicated installation. On the other hand, targetless contactless bridge weigh-in- motion(CBWIM) is easy to install, but due to the lack of marker points and low image quality, resulting in poor recognition accuracy, it cannot be widely promoted. In this paper, we propose a novel portable vision-based bridge weigh-in-motion method(PBWIM). First, a high-precision image encoding system and illumination-invariant infrared target device were developed, which were installed at the bottom of the beam. Then, the target tracking algorithm based on improved geometric matching automatically identifies the target point image and calculates the actual displacement to obtain the deflection time-history curve. Finally, the accurate vehicle weight is calculated by solving the Tikhonov regularized error equation. After field tests, the results show that the method proposed in this paper has a greater efficiency than the CBWIM algorithm, and can basically achieve the recognition accuracy of the traditional BWIM, and the cost is low, which has a wide range of application and promotion significance. |
||||
| Keywords: |
displacement monitoring computer vision bridge weigh-in-motion object detection vehicle load monitoring
|
||||
| Copyright: | © 2022 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | This creative work is copyrighted material and may not be used without explicit approval by the author and/or copyright owner. |
||||