Human-centered post-disaster inspection of infrastructure using augmented reality
Journal
Bridge Maintenance, Safety, Management, Digitalization and Sustainability - Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024
Series/Report No.
Bridge Maintenance Safety Management Digitalization and Sustainability Proceedings of the 12th International Conference on Bridge Maintenance Safety and Management Iabmas 2024
Start Page
3352
End Page
3358
ISBN (of the container)
978-103277040-6
ISBN
9781003483755
Date Issued
2024-07-12
Author(s)
Abstract
Using real-time crack width calculation with Canny edge detection, errors may occur in the crack itself due to factors such as the direction, continuity, and shape of the crack. On the other hand, according to the tests, human factors such as the observer’s distance from the crack, the observing angle, and the observer’s movement speed also influence the measured crack width. Therefore, this paper will conduct further experiments on human factors through collecting crack width data using Augmented Reality (AR) headsets. If these human factors can be systematically addressed, more accurate data can be obtained, making it easier for observers to use the system and reducing the impact of terrain constraints. Focusing on the error caused by distance and angle, there is a positive correlation between the error and both factors. Additionally, when further investigating the distance, there is an exponential relationship between the pixel unit of the crack and the distance. Various factors contribute to errors in outdoor crack measurements, such as lighting conditions, observation angles, and distance limitations. To initially exclude these factors, this paper focuses on indoor experiments, with the expectation that the findings could be applied to future outdoor observations.
Event(s)
12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024,24 June 2024 - 28 June 2024,Copenhagen
Subjects
Augmented Reality
Canny Algorithm
Concrete Crack Width
Edge Extraction
Pixel Unit Conversion
Publisher
CRC Press
Type
conference paper