Chapter
Jan 25, 2024

Autonomous Defect Inspection and Mapping for Building Maintenance

Publication: Computing in Civil Engineering 2023

ABSTRACT

As structures age, the continuous surveying of defects to structural elements becomes a central part of the life cycle. Automated and frequent inspections could allow for an enriched defect history for faster decisions and reduce the time until problems are first reported. This requires recording the defect on an autonomous platform and automatically classifying areas of interest. We propose and test a prototype that uses a defect segmentation network for classifying defect instances deployed on a Spot mobile robot for autonomous maintenance missions. The robot maps its surroundings using a continuous laser scan and annotates the resulting environment mesh using the defect segmentation network. We test the feasibility of entirely autonomous, repeat missions and the possible use cases of such a system.

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REFERENCES

Bolourian, N., M. Nasrollahi, F. Bahreini, and A. Hammad. 2023. “Point Cloud–Based Concrete Surface Defect Semantic Segmentation.” J. Comput. Civ. Eng., 37 (2): 04022056. American Society of Civil Engineers. https://doi.org/10.1061/JCCEE5.CPENG-5009.
Borrmann, A., M. König, C. Koch, and J. Beetz. 2018. Building Information Modeling: Technology Foundations and Industry Practice. Springer International Publishing.
Celik, F., P. Herbers, and M. König. 2022. “Image Segmentation on Concrete Damage for Augmented Reality Supported Inspection Tasks.” Proc. 19th Int. Conf. Comput. Civ. Build. Eng. Cape Town.
Chen, K., G. Reichard, A. Akanmu, and X. Xu. 2021. “Geo-registering UAV-captured close-range images to GIS-based spatial model for building façade inspections.” Autom. Constr., 122: 103503. https://doi.org/10.1016/j.autcon.2020.103503.
Choi, J., C. M. Yeum, S. J. Dyke, and M. R. Jahanshahi. 2018. “Computer-Aided Approach for Rapid Post-Event Visual Evaluation of a Building Façade.” Sensors, 18 (9): 3017. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/s18093017.
Falorca, J. F., and J. C. G. Lanzinha. 2020. “Facade inspections with drones–theoretical analysis and exploratory tests.” Int. J. Build. Pathol. Adapt., 39 (2): 235–258. Emerald Publishing Limited. https://doi.org/10.1108/IJBPA-07-2019-0063.
Garrido, I., E. Barreira, R. M. S. F. Almeida, and S. Lagüela. 2022. “Introduction of active thermography and automatic defect segmentation in the thermographic inspection of specimens of ceramic tiling for building façades.” Infrared Phys. Technol., 121: 104012. https://doi.org/10.1016/j.infrared.2021.104012.
Hornung, A., K. M. Wurm, M. Bennewitz, C. Stachniss, and W. Burgard. 2013. “OctoMap: An efficient probabilistic 3D mapping framework based on octrees.” Auton. Robots. https://doi.org/10.1007/s10514-012-9321-0.
Lattanzi, D., and G. Miller. 2017. “Review of Robotic Infrastructure Inspection Systems.” J. Infrastruct. Syst., 23 (3): 04017004. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000353.
Lin, J. J., A. Ibrahim, S. Sarwade, and M. Golparvar-Fard. 2021. “Bridge Inspection with Aerial Robots: Automating the Entire Pipeline of Visual Data Capture, 3D Mapping, Defect Detection, Analysis, and Reporting.” J. Comput. Civ. Eng., 35 (2): 04020064. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000954.
Lin, T.-Y., P. Dollar, R. Girshick, K. He, B. Hariharan, and S. Belongie. 2017. “Feature Pyramid Networks for Object Detection.” Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2117–2125.
Lorensen, W. E., and H. E. Cline. 1987. “Marching cubes: A high resolution 3D surface construction algorithm.” ACM SIGGRAPH Comput. Graph., 21 (4): 163–169. https://doi.org/10.1145/37402.37422.
McLaughlin, E., N. Charron, and S. Narasimhan. 2020. “Automated Defect Quantification in Concrete Bridges Using Robotics and Deep Learning.” J. Comput. Civ. Eng., 34 (5): 04020029. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000915.
Meng, S., Z. Gao, Y. Zhou, B. He, and A. Djerrad. 2022. “Real-time automatic crack detection method based on drone.” Comput.-Aided Civ. Infrastruct. Eng. https://doi.org/10.1111/mice.12918.
Mill, T., A. Alt, and R. Liias. 2013. “Combined 3D building surveying techniques – terrestrial laser scanning (TLS) and total station surveying for BIM data management purposes.” J. Civ. Eng. Manag., 19 (sup1): S23–S32. Taylor & Francis. https://doi.org/10.3846/13923730.2013.795187.
Peng, X., X. Zhong, A. Chen, C. Zhao, C. Liu, and Y. F. Chen. 2021. “Debonding defect quantification method of building decoration layers via UAV-thermography and deep learning.” Smart Struct. Syst., 28 (1): 55–67. https://doi.org/10.12989/sss.2021.28.1.055.
Phillips, S., and S. Narasimhan. 2019. “Automating Data Collection for Robotic Bridge Inspections.” J. Bridge Eng., 24 (8): 04019075. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001442.
Tan, Y., G. Li, R. Cai, J. Ma, and M. Wang. 2022. “Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection.” Autom. Constr., 139: 104284. https://doi.org/10.1016/j.autcon.2022.104284.

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Go to Computing in Civil Engineering 2023
Computing in Civil Engineering 2023
Pages: 1039 - 1046

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Published online: Jan 25, 2024

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Patrick Herbers [email protected]
1Computing in Engineering, Dept. of Civil and Environmental Engineering, Ruhr Univ. Bochum, Germany. Email: [email protected]
Firdes Çelik [email protected]
2Computing in Engineering, Dept. of Civil and Environmental Engineering, Ruhr Univ. Bochum, Germany. Email: [email protected]
Markus König [email protected]
3Computing in Engineering, Dept. of Civil and Environmental Engineering, Ruhr Univ. Bochum, Germany. Email: [email protected]

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