@Article{sdhm.2020.06489,
AUTHOR = {Nai-Hsin Pan, Ching-Hsiang Tsai, Kuei-Yen Chen, Shiaofang Sung},
TITLE = {Improvement of UAV Based an Evaluation Approach to Mid-High Rise Buildings’ Exterior Walls},
JOURNAL = {Structural Durability \& Health Monitoring},
VOLUME = {14},
YEAR = {2020},
NUMBER = {2},
PAGES = {109--125},
URL = {http://www.techscience.com/sdhm/v14n2/39422},
ISSN = {1930-2991},
ABSTRACT = {This research will develop a set of assessment techniques and procedures for exterior wall deterioration detection. The proposed method is mainly
based on equipped with high-resolution photographic equipment for unmanned
aerial vehicle (UAV). To overcome the problems of visual inspection difficulties
due to different angles and height, the proposed method provides a safer and more
efficient detection way to get the buildings’ exterior status. After using the proposed method to analyze the images taken from UAV, the size of the damaged
area can be evaluated more accurately, and the accuracy rate of visual assessment
will be significantly improved. The results of the proposed method can reduce the
accidents caused by the inspection process in the critical environment and the costs
incurred by the temporary facilities without sacrificing the quality of the inspection
results. Then, the research will implement the existing visual assessment method
because of the characteristics of rapid detection, however, the assessment results
will be different from different inspectors due to subjectivity. Thus, the research will
present an improved visual inspection method by using UAV and Forward Looking
Infred Thermal technology (FLIR). The result will be presented by Condition Index
(CI-Level) instead to improve the subjectivity of the personnel.},
DOI = {10.32604/sdhm.2020.06489}
}