Skip to main content
SpringerLink
Log in

Camera Calibration for Tracked Vehicles Augmented Reality Applications

  • Chapter
Innovative Control Systems for Tracked Vehicle Platforms

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 2))

Abstract

The article presents a method for camera calibration for tracked vehicles augmented reality applications. The method does not require any additional optical markers or symbols placed within the observed scene. The approach can be used regardless the quality of placement of optical markers, which could be disturbed due to object’s damage or contamination. The presented method can be applied to every object of known dimensions and is immune to light conditions, objects contamination and known deformations due to e.g. age or damage. Moreover it can be used both in real-time as well as in post-processing using object’s schematics. It allows implementation of Augmented Reality applications and systems in various places like tracked vehicles that previously were thought to be challenging or impossible. Therefore, the presented approach can be used to improve the quality of usage, diagnostics and repairs of tracked vehicles. In the article there are presented algorithms and their quality evaluation and an examples of applications.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Tsai, R.Y.: A Versatile Camera Calibration Technique for High-Accuracy 3D Machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses. IEE Journal of Robotics and Automation RA-3(4) (August 1987)

    Google Scholar 

  2. Babiarz, A., Bieda, R., Jaskot, K.: Vision System for Group of Mobile Robots. In: Nawrat, A., Kuś, Z. (eds.) Vision Based Systems for UAV Applications. SCI, vol. 481, pp. 139–156. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  3. Azuma, R.: A Survey of Augmented Reality, Presence: Teleoperators and Virtual Environments 6(4), 355–385 (August 1997)

    Google Scholar 

  4. Kato, H., et al.: Virtual Object Manipulation of a Table-Top AR Environment. In: Proc. Int’l Symp. Augmented Reality 2000 (ISAR 2000). Munich, 5-6, pp. 111–119 (October2000)

    Google Scholar 

  5. Information on: http://www.pdxstudio.com/tecnologia/realidad-aumentada

  6. Navab, N., Bani-Hashemi, A., Mitschke, M.: Merging visible and invisible: Two camera-augmented mobile C-arm (CAMC) applications. In: IWAR 1999: Proc. 2nd Int’l Workshop on Augmented Reality, San Francisco, CA, USA, October 20-21, pp. 134–141. IEEE CS Press (1999) ISBN 0-7695-0359-4

    Google Scholar 

  7. Information on, http://www.telegraph.co.uk/motoring/motoringvideo/9915073/Augmented-reality-car-windscreens-to-display-phone-calls-and-GPS-information.html

  8. Thompson, J.I.: A Three Dimensional Helmet Mounted Primary Flight Reference for Para-troopers, AFIT/GCS/ENG/05-18, Department oft he Air Force, Ohio (2005)

    Google Scholar 

  9. Information on, http://www.google.com/glass/start/

  10. Bradski, G., Kaehler, A.: Learning OpenCV: Computer Vision with the OpenCV Library. O’Reilly Maedia (2008)

    Google Scholar 

  11. Hartley, R., Zisserman, A.: Multiple View Geometry in computer vision. Cambridge University Press

    Google Scholar 

  12. Faig, W.: Calibration of close-range photogrammetry systems: Mathematical formulation. Photogrammetric Eng. Remote Sensing 41, 1479–1486 (1975)

    Google Scholar 

  13. Topór-Kamiñski, T., Krupanek, B., Homa, J.: Delays Models of Measurement and Control Data Transmission Network. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems. SCI, vol. 440, pp. 257–278. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  14. Babiarz, A., Jaskot, K.: The Concept of Collision-Free Path Planning of UAV Objects. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems. SCI, vol. 440, pp. 81–94. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  15. Babiarz, A., Bieda, R., Jaskot, K.: Vision System for Group of Mobile Robots. In: Nawrat, A., Kuś, Z. (eds.) Vision Based Systems for UAV Applications. SCI, vol. 481, pp. 139–156. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  16. Czapla, T., Wrona, J.: Technology Development of Military Applications of Unmanned Ground Vehicles, Vision Based Systems for UAV Applications. In: Nawrat, A., Kuś, Z. (eds.) Vision Based Systems for UAV Applications. SCI, vol. 481, pp. 293–309. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  17. Orkisz, M., Swiech, L., Zacharzewski, J.: Fatigue tests of motor glider wing’s composite spar. Eksploatacjai Niezawodnosc 14(3), 228–232 (2012)

    Google Scholar 

  18. Martynowicz, P., Kciuk, S., Mezyk, A.: Rotary-shock-absorber with magnetorheological valves. Advanced Materials Research 628, 505–511 (2013)

    Article  Google Scholar 

  19. Kciuk, S., Kciuk, M., Turczyn, R., Martynowicz, P.: An Investigation of the Behaviour of Mag-netorheological Fluids in The Rotary Shock-Absorber. Advanced Materials Research 628, 512–517 (2013)

    Article  Google Scholar 

  20. Barnat, W., Panowicz, R., Niezgoda, T.: Numerical and Experimental Comparison of Com-bined Multilayer Protective Panels. ActaMechanica et Automatica 6(1), 13–16 (2012)

    Google Scholar 

  21. Barnat, W., Panowicz, R., Niezgoda, T., Dybcio, P.: Numerical analysis of IED detonation effect on steel plate. Acta Mechanica et Automatica 6(1), 10–12 (2012)

    Google Scholar 

  22. Panowicz, R., Barnat, W., Niezgoda, T., Szymanczyk, L., Grzymkowski, J.: Acta Mechanica et Automatica 6 (1), 49-52 (2012)

    Google Scholar 

  23. Barnat, W., Niezgoda, T., Panowicz, R., Sybilski, K.: The Influence of Conical Composite Fill-ing on Energy Absorbtion During The Progressive Fracture Process. WIT Transactions on Modelling and Simulation 51, 625–633 (2011)

    Google Scholar 

  24. Niezgoda, T., Panowicz, R., Sybilski, K., Barnat, W.: Numerical Analysis of Missile Impact Be-ing Shot By Rocket Propelled Grenades with Rod Armour. WIT Transactions on Modelling and Simulation 51, 625–633 (2011)

    Article  Google Scholar 

  25. Daniec, K., Jedrasiak, K., Koteras, R., Nawrat, A.: Embedded Micro Inertial Navigation System. Applied Mechanics and Materials 249, 1234–1246 (2013)

    Google Scholar 

  26. Jędrasiak, K., Bereska, D., Nawrat, A.: The Prototype of Gyro-Stabilized UAV Gimbal for Day-Night Surveillance. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems. SCI, vol. 440, pp. 107–116. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  27. Jędrasiak, K., Nawrat, A., Wydmańska, K.: SETh-link The Distributed Management System for Unmanned Mobile Vehicles. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems of National Border Security. SCI, vol. 440, pp. 247–256. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  28. Jędrasiak, K., Nawrat, A.: Image Recognition Technique for Unmanned Aerial Vehicles. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds.) ICCVG 2008. LNCS, vol. 5337, pp. 391–399. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  29. Nawrat, A., Jedrasiak, K.: SEThSystem Spatio-Temporal Object Tracking Using Combined Color and Motion Features. In: WSEAS International Conference, Proceedings, Mathematics and Computers in Science and Engineering, vol. 9 (2009)

    Google Scholar 

  30. Jedrasiak, K., Daniec, K., Nawrat, A.: The Low Cost Micro Inertial Measurement Unit. In: Industrial Electronics and Applications (ICIEA), pp. 403–408 (2013)

    Google Scholar 

  31. Bereska, D., Jędrasiak, K., Daniec, K., Nawrat, A.: Gyro-Stabilized Platform for Multispectral Image Acquisition. In: Nawrat, A., Kuś, Z. (eds.) Vision Based Systems for UAV Applications. SCI, vol. 481, pp. 115–121. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  32. Daniec, K., Iwaneczko, P., Jędrasiak, K., Nawrat, A.: Prototyping the Autonomous Flight Algo-rithms Using the Prepar3D Simulator. In: Nawrat, A., Kuś, Z. (eds.) Vision Based Systems for UAV Applications. SCI, vol. 481, pp. 219–232. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  33. Babiarz, A., Bieda, R., Jędrasiak, K., Nawrat, A.: Machine Vision in Autonomous Systems of Detection and Location of Objects in Digital Images. In: Nawrat, A., Kuś, Z. (eds.) Vision Based Systems for UAV Applications. SCI, vol. 481, pp. 3–25. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  34. Bereska, D., Daniec, K., Fraś, S., Jędrasiak, K., Malinowski, M., Nawrat, A.: System for Multi-Axial Mechanical Stabilization of Digital Camera. In: Nawrat, A., Kuś, Z. (eds.) Vision Based Systems for UAV Applications. SCI, vol. 481, pp. 177–189. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Automation, Silesian University of Technology, Gliwice, Poland

    Dawid Sobel, Karol Jędrasiak, Krzysztof Daniec, Piotr Jurgaś & Aleksander M. Nawrat

  2. Military University of Technology, ul. gen. Sylwestra Kaliskiego 2, 00-908, Warsaw, Poland

    Józef Wrona

  3. Industrial Research Institute for Automation and Measurements, Aleje Jerozolimskie 202, 02-486, Warsaw, Poland

    Józef Wrona

Authors
  1. Dawid Sobel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Karol Jędrasiak
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Krzysztof Daniec
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Józef Wrona
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Piotr Jurgaś
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Aleksander M. Nawrat
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dawid Sobel .

Editor information

Editors and Affiliations

  1. Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland

    Aleksander. M Nawrat. M

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Sobel, D., Jędrasiak, K., Daniec, K., Wrona, J., Jurgaś, P., Nawrat, A.M. (2014). Camera Calibration for Tracked Vehicles Augmented Reality Applications. In: Nawrat. M, A. (eds) Innovative Control Systems for Tracked Vehicle Platforms. Studies in Systems, Decision and Control, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-04624-2_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-04624-2_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04623-5

  • Online ISBN: 978-3-319-04624-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation