Log in

Context-aware 3D visualization and collaboration services for ubiquitous cars using augmented reality

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Context-aware, ubiquitous computing is a vision of our future computing lifestyle in which computer systems seamlessly integrate into our everyday lives, providing services and information in anywhere and anytime fashion. Augmented reality (AR) can naturally complement ubiquitous computing by providing an intuitive and collaborative visualization and simulation interface to a three-dimensional information space embedded within physical reality. This paper presents a service framework and its applications for providing context-aware and adaptable 3D visualization and collaboration services for ubiquitous cars (U-cars) using augmented reality, which can support a rich set of ubiquitous car services and collaboration services for distributed maintenance and repair. It utilizes augmented reality for providing visual interactions by superimposing virtual models of car components or sub-assemblies onto real cars, which realizes bi-augmentation between physical and virtual models. It also offers a context processing module to acquire, interpret and disseminate context information. In particular, the context processing module considers user’s preferences for providing customer’s context adaptable services. The prototype system has been implemented to support 3D animation, text-to-speech (TTS), augmented manual, and pre- and post-augmentation services in ubiquitous car service environments.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (France)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Anhalt J, Smailagic A, Siewiorek DP, Gemperle F, Salber D, Weber S, Beck J, Jennings J (2001) Toward context-aware computing: experiences and lessons. IEEE Intell Syst 16(3):38–46

    Article  Google Scholar 

  2. Balcisoy S, Kallmann M, Fua P, Thalmann D (2000) A framework for rapid evaluation of prototypes with augmented reality, Proc. the ACM symposium on Virtual reality software and technology, session: Augmented reality / 3D modeling, pp 61–66

  3. Billinghurst M, Kato H (2002) Collaborative augmented reality. Commun ACM 45(7):64–70

    Article  Google Scholar 

  4. CC/PP (2004) http://www.w3.org/TR/CCPP-struct-vocab/

  5. Doil F, Schreiber W, Alt T, Patron C (2003) Augmented reality for manufacturing planning. Proc. Workshop on Virtual Environments 2003, pp 71–76

  6. Gandon FL, Sadeh NM (2004) Semantic web technologies to reconcile privacy and context awareness. J Web Semantics 1(3):241–260

    Google Scholar 

  7. Gausemeier J, Fruend J, Matysczok C (2002) AR planning tool - designing flexible manufacturing systems with augmented reality. ACM Int Conf Proc Series Workshop Virtual Environ 23:19–25

    Google Scholar 

  8. Rohs M, Zweifel P (2005) A conceptual framework for camera phone-based interaction techniques. Pervasive 2005, pp 171–189

  9. Held A, Buchholz S, Schill A (2002) Modeling of context information for pervasive computing applications. Proc 6th World Multiconference on Systems, Cybernetics and Informatics, Orlando, FL

  10. HITLabNZ ARToolkit (2005) http://www.artoolkit.sourceforge.net/

  11. Kato H, Billinghurst M, Poupyrev I, Imamoto K, Tachibana K (2000) Virtual object manipulation on a table-top AR environment. Augmented Reality 2000. (ISAR 2000). Proceedings IEEE and ACM International Symposium, pp 111–119

  12. Kim H, Cho Y-J, Oh S-R (2005) A middleware supporting context-aware services for network-based robots. IEEE Workshop on Advanced Robotic and its Social Impacts, Nagoya, Japan

  13. Lee JY, Kim K “A distributed product development architecture for engineering collaborations across ubiquitous virtual enterprises”, International Journal of Advanced Manufacturing Technology, DOI 10.1007/s00170-006-0443-4

  14. Lee JY, Rhee GW, Kim H, Lee K-W, Suh Y-H, Kim K (2006) Convergence of context-awareness and augmented reality for ubiquitous services and immersive interactions. LNCS 3983:466–474

    Google Scholar 

  15. Ong SK, Nee AYC (2004) Virtual and Augmented Reality Applications in Manufacturing, Springer

  16. Tönnis M, Sandor C, Klinker G (2005) Experimental evaluation of an augmented reality visualization for directing a car driver’s attentions. Proc. International Symposium on Mixed and Augmented Reality, pp 56–59

  17. OWL (2004) http://www.w3.org/TR/owl-guide/

  18. Wagner D, Pintaric T, Ledermann F, Schmalstieg D (2005) Towards massively multi-user augmented reality on handheld devices. LNCS 3468:208–219

    Google Scholar 

  19. Wang XH, Zhang D, Gu T, Pung HK (2004) Ontology-based context modeling and reasoning using OWL. Proc. 2nd IEEE Annual Conf. on Pervasive Computing and Communications Workshops, pp 18–22

  20. Zhang D, Wang XH, Hackbarth K (2004) OSGi based service infrastructure for context aware automotive telematics. IEEE 59th Vehicular Technology Conf 5:2957–2961

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jae Yeol Lee.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lee, J.Y., Rhee, G. Context-aware 3D visualization and collaboration services for ubiquitous cars using augmented reality. Int J Adv Manuf Technol 37, 431–442 (2008). https://doi.org/10.1007/s00170-007-0996-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-007-0996-x

Keywords

Navigation