Automated Bridge Inspection using Digital Image Correlation Phase III – Examination Alternative Vision-based Methods and Deployment Mechanisms for Field Implementation
| 项目名称： | Automated Bridge Inspection using Digital Image Correlation Phase III – Examination Alternative Vision-based Methods and Deployment Mechanisms for Field Implementation |
| 摘要： | Building on the previous years of this study, the methods developed for fatigue crack characterization using digital image correlation (DIC) will be examined using open-source software and off-the-shelf hardware components. Previous development and analysis of the DIC-based crack inspection methodology relied on a commercial package of hardware and software. Results indicate that hardware setup, system calibration, and environmental conditions greatly influence the reliability of the methodology. Open-source solutions may allow for more flexibility and customization of the system, potentially allowing for a more reliable and robust application of the developed crack characterization methodology. Open-source software will be identified and evaluated with existing data sets. Additionally, alternative vision-based inspection tools will also be investigated. As vision-based technology is rapidly advancing, potential for application to infrastructure inspection should be evaluated. Comparisons will be made with the existing DIC-based protocol to determine whether alternative tools are currently feasible for fatigue crack identification and characterization. Finally, deployment mechanisms will be identified and investigated. This includes commercially-available and research-focused tools such as unmanned aerial vehicles (UAVs) and robotic crawlers. This research program is anticipated to lead to implementation of a vision-based inspection tool for use in automated bridge inspections. |
| 状态： | Active |
| 资金： | 156394 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Stearns, Amy |
| 执行机构： | University of Kansas, Lawrence |
| 开始时间： | 20200624 |
| 预计完成日期： | 20210630 |
| 主题领域： | Bridges and other structures；Highways；Maintenance and Preservation |
相关文献
- Development of an Automated Bridge Inspection Methodology using Digital Image Correlation - Phase I
- Implementation of Evaluating Bridge Behavior Using Ultra High-Resolution Digital Imaging Correlation (DIC)
- Automated Bridge Inspection using Digital Image Correlation Phase II � Application of Digital Image Correlation Techniques for In-Service Inspection Conditions
- Fatigue Crack Inspection Using Computer Vision and Augmented Reality
- A Training Framework of Robotic Operation and Image Analysis for Decision-making in Bridge Inspection and Preservation
- SPR-4119: Assessment of Bridges Subjected to Vehicular Collision
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