Skip to main content

2016 | OriginalPaper | Buchkapitel

Design and Development of a Multi-rotor Unmanned Aerial Vehicle System for Bridge Inspection

verfasst von : Jie Chen, Junjie Wu, Gang Chen, Wei Dong, Xinjun Sheng

Erschienen in: Intelligent Robotics and Applications

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

To prevent the occurrence of bridge structural failure, regular bridge inspections are required to find the defects of bridges. Traditional detection methods are mainly carried out manually, which are cumbersome and unsafe. The objective of this study is to develop an unmanned aerial vehicle (UAV) for bridge inspection in a fully autonomous manner. In view of the characteristics of the bridge environment and detection principle, a hexarotor frame with an upward camera gimbal is specially designed. Complete control system, sensor system, and image processing system are integrated into the system on the Robot Operation System (ROS). In addition, position estimation and obstacle detection with multi-sensor fusion technique are proposed for obstacle avoidance, human-friendly control flying under the bridge environment without Global Position System (GPS). Compared with traditional bridge inspection method, UAVs will not be limited to space, which will simplify the inspection process, improve the inspection efficiency, guarantee personnel safety, and reduce the incidence of high-risk job accidents.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Literatur
1.
Zurück zum Zitat Kumar, V., Michael, N.: Opportunities and challenges with autonomous micro aerial vehicles. Int. J. Robot. Res. 31(11), 1279–1291 (2012)CrossRef Kumar, V., Michael, N.: Opportunities and challenges with autonomous micro aerial vehicles. Int. J. Robot. Res. 31(11), 1279–1291 (2012)CrossRef
2.
Zurück zum Zitat Williamson, W.R., Abdel-Hafez, M.F., Rhee, I., et al.: An instrumentation system applied to formation flight. IEEE Trans. Control Syst. Technol. 15(1), 75–85 (2007)CrossRef Williamson, W.R., Abdel-Hafez, M.F., Rhee, I., et al.: An instrumentation system applied to formation flight. IEEE Trans. Control Syst. Technol. 15(1), 75–85 (2007)CrossRef
3.
Zurück zum Zitat Baker, R.E.: Combining micro technologies and unmanned systems to support public safety and homeland security. J. Civ. Eng. Archit. 6(10), 1399 (2012) Baker, R.E.: Combining micro technologies and unmanned systems to support public safety and homeland security. J. Civ. Eng. Archit. 6(10), 1399 (2012)
4.
Zurück zum Zitat Ambrosia, V., et al.: Unmanned airborne systems supporting disaster observations: near-real-time data needs. Int. Soc. Photogram. Remote Sens. 144, 1–4 (2011) Ambrosia, V., et al.: Unmanned airborne systems supporting disaster observations: near-real-time data needs. Int. Soc. Photogram. Remote Sens. 144, 1–4 (2011)
5.
Zurück zum Zitat Mahony, R., Kumar, V., Corke, P.: Multirotor aerial vehicles: modeling, estimation, and control of quadrotor. IEEE Robot. Autom. Mag. 19(3), 20–32 (2012)CrossRef Mahony, R., Kumar, V., Corke, P.: Multirotor aerial vehicles: modeling, estimation, and control of quadrotor. IEEE Robot. Autom. Mag. 19(3), 20–32 (2012)CrossRef
6.
Zurück zum Zitat Metni, N., Hamel, T.: A UAV for bridge inspection: visual servoing control law with orientation limits. Autom. Constr. 17(1), 3–10 (2007)CrossRef Metni, N., Hamel, T.: A UAV for bridge inspection: visual servoing control law with orientation limits. Autom. Constr. 17(1), 3–10 (2007)CrossRef
8.
Zurück zum Zitat Serrano, N.E.: Autonomous quadrotor unmanned aerial vehicle for culvert inspection. Diss. Massachusetts Institute of Technology (2011) Serrano, N.E.: Autonomous quadrotor unmanned aerial vehicle for culvert inspection. Diss. Massachusetts Institute of Technology (2011)
9.
Zurück zum Zitat Shen, S., et al.: Multi-sensor fusion for robust autonomous flight in indoor and outdoor environments with a rotorcraft MAV. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), IEEE (2014) Shen, S., et al.: Multi-sensor fusion for robust autonomous flight in indoor and outdoor environments with a rotorcraft MAV. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), IEEE (2014)
10.
Zurück zum Zitat Shen, S., Michael, N., Kumar, V.: Autonomous multi-floor indoor navigation with a computationally constrained MAV. In: 2011 IEEE international conference on Robotics and automation (ICRA), IEEE (2011) Shen, S., Michael, N., Kumar, V.: Autonomous multi-floor indoor navigation with a computationally constrained MAV. In: 2011 IEEE international conference on Robotics and automation (ICRA), IEEE (2011)
11.
Zurück zum Zitat Shen, S., Michael, N., Kumar, V.: Autonomous indoor 3D exploration with a micro-aerial vehicle. In: 2012 IEEE International Conference on Robotics and Automation (ICRA), IEEE (2012) Shen, S., Michael, N., Kumar, V.: Autonomous indoor 3D exploration with a micro-aerial vehicle. In: 2012 IEEE International Conference on Robotics and Automation (ICRA), IEEE (2012)
12.
Zurück zum Zitat Dong, W., et al.: Modeling and control of a quadrotor UAV with aerodynamic concepts. World Acad. Sci. Eng. Technol. 7, 377–382 (2013) Dong, W., et al.: Modeling and control of a quadrotor UAV with aerodynamic concepts. World Acad. Sci. Eng. Technol. 7, 377–382 (2013)
13.
Zurück zum Zitat Censi, A.: An ICP variant using a point-to-line metric. In: 2008 IEEE International Conference on Robotics and Automation, ICRA 2008, IEEE (2008) Censi, A.: An ICP variant using a point-to-line metric. In: 2008 IEEE International Conference on Robotics and Automation, ICRA 2008, IEEE (2008)
Metadaten
Titel
Design and Development of a Multi-rotor Unmanned Aerial Vehicle System for Bridge Inspection
verfasst von
Jie Chen
Junjie Wu
Gang Chen
Wei Dong
Xinjun Sheng
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-43506-0_44