Authors:
David Lattanzi
and
Greg Miller
Affiliation:
University of Washington, United States
Keyword(s):
Infrastructure, Damage Detection, Computer Vision, Image Visualization, Robotics.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
Data Acquisition and Information Processing
;
Display and Interaction Technology
;
General Data Visualization
;
Spatial Data and Non-Spatial Data Visualization
;
Spatial Data Visualization
;
Visual Representation and Interaction
;
Visualization Applications
Abstract:
A modern framework for bridge monitoring is proposed. It is intended to, in effect, bring bridges virtually into engineers’ offices, enabling computer-assisted inspection using visual/spatial navigation and interaction, augmented with computer vision recognition and analysis techniques developed for flaw and damage detection. The technical challenges to be addressed include developing a robotic front-end image capture approach for optimum compatibility with the bridge inspection process, building scalable back-end visualization algorithms, implementing a computer vision system capable of robust field inspection, and leveraging the contextualized image data to improve decision making tools for bridge maintenance.