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Computer-Aided Approach for Rapid Post-Event Visual Evaluation of a Building Façade
Jongseong Choi1, Chul Min Yeum2, Shirley J Dyke3,4
1School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA. choi343@purdue.edu.
Sensors (Basel, Switzerland)
|September 13, 2018
Summary
Unmanned aerial vehicles (UAVs) enable rapid, accurate building façade inspections post-disaster. This approach uses structure-from-motion to create orthophotos for efficient damage assessment, preventing hazards.
Area of Science:
- Civil Engineering
- Computer Vision
- Remote Sensing
Background:
- Building façade damage after disasters poses significant risks to public safety.
- Traditional inspection methods for high-rise buildings are time-consuming and spatially limited.
Purpose of the Study:
- To develop a rapid and accurate method for visual inspection of building façades using UAV-captured imagery.
- To automate the identification of potential hazards on building exteriors.
Main Methods:
- Utilized structure-from-motion (SfM) to generate orthophotos from UAV images.
- Implemented image stitching and blending for seamless façade representation.
- Developed an automated method for extracting high-resolution regions of interest based on geometric relationships.
Main Results:
- Successfully created orthophotos of building façades.
- Enabled automatic extraction of detailed inspection areas.
- Demonstrated the technique's effectiveness on a damaged building façade.
Conclusions:
- The proposed UAV-based approach significantly enhances the speed and accuracy of building façade inspections.
- This method mitigates risks associated with post-disaster structural damage.
- Automated analysis of UAV imagery offers a scalable solution for infrastructure monitoring.
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