A high-accuracy hollowness inspection system with sensor fusion of ultra-wide-band radar and depth camera

With the dangerous and troublesome nature of hollow defects inside building structures, hollowness inspection has always been a challenge in the field of construction quality assessment. Several methods have been proposed for inspecting hollowness inside concrete structures. These methods have shown...

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Main Authors: Kang, Haoran, Zhang, Wentao, Ge, Yangtao, Liao, Haiou, Huang, Bangzhen, Wu, Jing, Yan, Rui-Jun, Chen, I-Ming
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/172286
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1722862023-12-05T02:58:47Z A high-accuracy hollowness inspection system with sensor fusion of ultra-wide-band radar and depth camera Kang, Haoran Zhang, Wentao Ge, Yangtao Liao, Haiou Huang, Bangzhen Wu, Jing Yan, Rui-Jun Chen, I-Ming School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Construction Automation Microwave Imaging With the dangerous and troublesome nature of hollow defects inside building structures, hollowness inspection has always been a challenge in the field of construction quality assessment. Several methods have been proposed for inspecting hollowness inside concrete structures. These methods have shown great advantages compared to manual inspection but still lack autonomy and have several limitations. In this paper, we propose a range-point migration-based non-contact hollowness inspection system with sensor fusion of ultra-wide-band radar and laser-based depth camera to extract both outer surface and inner hollowness information accurately and efficiently. The simulation result evaluates the performance of the system based on the original range-point migration algorithm, and our proposed one and the result of our system show great competitiveness. Several simulation experiments of structures that are very common in reality are carried out to draw more convincing conclusions about the system. At the same time, a set of laboratory-made concrete components were used as experimental objects for the robotic system. Although still accompanied by some problems, these experiments demonstrate the availability of an automated hollow-core detection system. This material is based upon work supported by the National Science Foundation of China #U1913603 and #62203205. 2023-12-05T02:58:46Z 2023-12-05T02:58:46Z 2023 Journal Article Kang, H., Zhang, W., Ge, Y., Liao, H., Huang, B., Wu, J., Yan, R. & Chen, I. (2023). A high-accuracy hollowness inspection system with sensor fusion of ultra-wide-band radar and depth camera. Robotica, 41(4), 1258-1274. https://dx.doi.org/10.1017/S0263574722001692 0263-5747 https://hdl.handle.net/10356/172286 10.1017/S0263574722001692 2-s2.0-85150062913 4 41 1258 1274 en Robotica © 2022 The Author(s). Published by Cambridge University Press. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Construction Automation
Microwave Imaging
spellingShingle Engineering::Mechanical engineering
Construction Automation
Microwave Imaging
Kang, Haoran
Zhang, Wentao
Ge, Yangtao
Liao, Haiou
Huang, Bangzhen
Wu, Jing
Yan, Rui-Jun
Chen, I-Ming
A high-accuracy hollowness inspection system with sensor fusion of ultra-wide-band radar and depth camera
description With the dangerous and troublesome nature of hollow defects inside building structures, hollowness inspection has always been a challenge in the field of construction quality assessment. Several methods have been proposed for inspecting hollowness inside concrete structures. These methods have shown great advantages compared to manual inspection but still lack autonomy and have several limitations. In this paper, we propose a range-point migration-based non-contact hollowness inspection system with sensor fusion of ultra-wide-band radar and laser-based depth camera to extract both outer surface and inner hollowness information accurately and efficiently. The simulation result evaluates the performance of the system based on the original range-point migration algorithm, and our proposed one and the result of our system show great competitiveness. Several simulation experiments of structures that are very common in reality are carried out to draw more convincing conclusions about the system. At the same time, a set of laboratory-made concrete components were used as experimental objects for the robotic system. Although still accompanied by some problems, these experiments demonstrate the availability of an automated hollow-core detection system.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Kang, Haoran
Zhang, Wentao
Ge, Yangtao
Liao, Haiou
Huang, Bangzhen
Wu, Jing
Yan, Rui-Jun
Chen, I-Ming
format Article
author Kang, Haoran
Zhang, Wentao
Ge, Yangtao
Liao, Haiou
Huang, Bangzhen
Wu, Jing
Yan, Rui-Jun
Chen, I-Ming
author_sort Kang, Haoran
title A high-accuracy hollowness inspection system with sensor fusion of ultra-wide-band radar and depth camera
title_short A high-accuracy hollowness inspection system with sensor fusion of ultra-wide-band radar and depth camera
title_full A high-accuracy hollowness inspection system with sensor fusion of ultra-wide-band radar and depth camera
title_fullStr A high-accuracy hollowness inspection system with sensor fusion of ultra-wide-band radar and depth camera
title_full_unstemmed A high-accuracy hollowness inspection system with sensor fusion of ultra-wide-band radar and depth camera
title_sort high-accuracy hollowness inspection system with sensor fusion of ultra-wide-band radar and depth camera
publishDate 2023
url https://hdl.handle.net/10356/172286
_version_ 1784855551024300032