Skip to main content
Top

2018 | OriginalPaper | Chapter

A Drone-Based Building Inspection System Using Software-Agents

Authors : Jun Jo, Zahra Jadidi, Bela Stantic

Published in: Intelligent Distributed Computing XI

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Regular building inspections are a key means of identifying defects before getting worse or causing a building failure. As a tool for building condition inspections, Unmanned Aerial Vehicles (UAVs) or drones offer considerable potential allowing especially high-rise buildings to be visually assessed with economic and risk-related benefits. One of the critical problems encountered in automating the system is that the whole process involves a very complicated and significant amount of computational tasks, such as UAV control, localisation, image acquisition and abnormality analysis using machine learning techniques. Distributed software agents interact and collaborate each other in complicated systems and improve the reliability, availability and scalability. This research introduces a ubiquitous concept of software-agents to a drone-based building inspection system that is applied to crack-detection on concrete surfaces. The architecture and new features of the proposed system will be discussed.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Giri, P., Kharkovsky, S.: Detection of surface crack in concrete using measurement technique with laser displacement sensor. IEEE Trans. Instrum. Meas. 65, 1951–1953 (2016)CrossRef Giri, P., Kharkovsky, S.: Detection of surface crack in concrete using measurement technique with laser displacement sensor. IEEE Trans. Instrum. Meas. 65, 1951–1953 (2016)CrossRef
2.
go back to reference Cheng, M.Y., Wu, Y.W.: Multi-agent-based data exchange platform for bridge disaster prevention: A case study in Taiwan. Nat. Hazards 69, 311–326 (2013)CrossRef Cheng, M.Y., Wu, Y.W.: Multi-agent-based data exchange platform for bridge disaster prevention: A case study in Taiwan. Nat. Hazards 69, 311–326 (2013)CrossRef
3.
go back to reference Paolucci, M., Sacile, R.: Agent-based Manufacturing and Control Systems: New Agile Manufacturing Solutions for Achieving Peak Performance, CRC Press (2016) Paolucci, M., Sacile, R.: Agent-based Manufacturing and Control Systems: New Agile Manufacturing Solutions for Achieving Peak Performance, CRC Press (2016)
4.
go back to reference Mocanu, A., Bădică, C.: Scrutable multi-agent hazard rescue system. In: Intelligent Distributed Computing, IX PP. 37–47, Springer (2016) Mocanu, A., Bădică, C.: Scrutable multi-agent hazard rescue system. In: Intelligent Distributed Computing, IX PP. 37–47, Springer (2016)
5.
go back to reference Chanda, S., Bu, G., Guan, H., Jo, J., Pal, U., Loo, Y.C., Blumenstein, M.: Automatic bridge crack detection–a texture analysis-based approach. In: IAPR Workshop on Artificial Neural Networks in Pattern Recognition, pp. 193–203, Springer (2014) Chanda, S., Bu, G., Guan, H., Jo, J., Pal, U., Loo, Y.C., Blumenstein, M.: Automatic bridge crack detection–a texture analysis-based approach. In: IAPR Workshop on Artificial Neural Networks in Pattern Recognition, pp. 193–203, Springer (2014)
6.
go back to reference Jo, J., Tsunoda, Y., Sullivan, T., Lennon, M., Jo, T., Chun, Y.S.: BINS: blackboard-based intelligent navigation system for multiple sensory data integration. In Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV) 1 (The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)) (2013) Jo, J., Tsunoda, Y., Sullivan, T., Lennon, M., Jo, T., Chun, Y.S.: BINS: blackboard-based intelligent navigation system for multiple sensory data integration. In Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV) 1 (The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)) (2013)
7.
go back to reference Zosso, D., Tran, G., Osher, S.: A unifying retinex model based on non-local differential operators. In: IS&T/SPIE Electronic Imaging 865702-865702-865716. International Society for Optics and Photonics (2013) Zosso, D., Tran, G., Osher, S.: A unifying retinex model based on non-local differential operators. In: IS&T/SPIE Electronic Imaging 865702-865702-865716. International Society for Optics and Photonics (2013)
Metadata
Title
A Drone-Based Building Inspection System Using Software-Agents
Authors
Jun Jo
Zahra Jadidi
Bela Stantic
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-66379-1_11

Premium Partner