Skip to main content

Training Assistant for Automotive Engineering Through Augmented Reality

  • Conference paper
  • First Online:
Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2019)

Abstract

This article proposes the development of an augmented reality application for mobile devices with Android OS focused on the visualization and interaction of the user with the components, technical characteristics, location and the processes of disassembly and assembly of engine in a vehicle; facilitating the learning process referring to this automotive system. The application was developed in the graphic engine 3D Unity and the use of Vuforia for the recognition of objects in 3D, being a technological tool that allows vouching the learning in the internal combustion engine, guiding the user and changing the paradigms of the use of physical manuals with the new technological advances as the augmented reality.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight 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

References

  1. Rosero, M., Pogo, R., Pruna, E., Andaluz, Víctor H., Escobar, I.: Immersive environment for training on industrial emergencies. In: De Paolis, L.T., Bourdot, P. (eds.) AVR 2018. LNCS, vol. 10851, pp. 451–466. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95282-6_33

    Chapter  Google Scholar 

  2. Tatić, D., Bojan, T.: The application of augmented reality technologies for the improvement of occupational safety in an industrial environment. Comput. Ind. 85, 1–10 (2017)

    Article  Google Scholar 

  3. Turner, C.J., Hutabarat, W., Oyekan, J., Tiwari, A.: Discrete event simulation and virtual reality use in industry: new opportunities and future trends. IEEE Trans. Hum.-Mach. Syst. 46, 882–894 (2016)

    Article  Google Scholar 

  4. Sarupuri, B., Lee, G.A., Billinghurst, M.: An augmented reality guide for assisting forklift operation. In: IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), pp. 59–60. IEEE (2016)

    Google Scholar 

  5. Lima, J.P., et al.: Markerless tracking system for augmented reality in the automotive industry. Expert Syst. Appl. 82, 100–114 (2017)

    Google Scholar 

  6. Ortiz, J.S., et al.: Virtual training for industrial automation processes through pneumatic controls. In: De Paolis, L.T., Bourdot, P. (eds.) AVR 2018. LNCS, vol. 10851, pp. 516–532. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95282-6_37

    Chapter  Google Scholar 

  7. Chen, C.J., Hong, J., Wang, S.F.: Automated positioning of 3D virtual scene in AR-based assembly and disassembly guiding system. Int. J. Adv. Manuf. Technol. 76, 753–764 (2015)

    Article  Google Scholar 

  8. Laudante, E., Caputo, F.: Design and digital manufacturing: an ergonomic approach for industry 4.0. In: Systems & Design: Beyond Processes and Thinking, pp. 922–934 (2016)

    Google Scholar 

  9. Ortiz, J.S., et al.: Teaching-learning process through VR applied to automotive engineering. In: Proceedings of the 2017 9th International Conference on Education Technology and Computers, pp. 36–40 (2017)

    Google Scholar 

  10. Zhang, J., Sung, Y.T., Hou, H.T., Chang, K.E.: The development and evaluation of an augmented reality-based armillary sphere for astronomical observation instruction. Comput. Educ. 73, 178–188 (2014)

    Article  Google Scholar 

  11. Hořejší, P.: Augmented reality system for virtual training of parts assembly. Procedia Eng. 100, 699–706 (2015)

    Article  Google Scholar 

  12. Jetter, J., Eimecke, J., Rese, A.: Augmented reality tools for industrial applications: what are potential key performance indicators and who benefits? Comput. Hum. Behav. 87, 18–33 (2018)

    Article  Google Scholar 

  13. Quevedo, W.X., et al.: Virtual reality system for training in automotive mechanics. In: De Paolis, L.T., Bourdot, P., Mongelli, A. (eds.) AVR 2017. LNCS, vol. 10324, pp. 185–198. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60922-5_14

    Chapter  Google Scholar 

  14. Andaluz, V.H., et al.: Multi-user industrial training and education environment. In: De Paolis, L.T., Bourdot, P. (eds.) AVR 2018. LNCS, vol. 10851, pp. 533–546. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95282-6_38

    Chapter  Google Scholar 

Download references

Acknowledgements

The authors would like to thanks to the Corporación Ecuatoriana para el Desarrollo de la Investigación y Academia–CEDIA for the financing given to research, development, and innovation, through the CEPRA projects, especially the project CEPRA-XI-2017-06; Control Coordinado Multi-operador aplicado a un robot Manipulador Aéreo; also to Universidad de las Fuerzas Armadas ESPE, Universidad Técnica de Ambato, Escuela Superior Politécnica de Chimborazo, Universidad Nacional de Chimborazo, and Grupo de Investigación ARSI, for the support to develop this work.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Fernando R. Pusda , Francisco F. Valencia , Víctor H. Andaluz or Víctor D. Zambrano .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pusda, F.R., Valencia, F.F., Andaluz, V.H., Zambrano, V.D. (2019). Training Assistant for Automotive Engineering Through Augmented Reality. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2019. Lecture Notes in Computer Science(), vol 11614. Springer, Cham. https://doi.org/10.1007/978-3-030-25999-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-25999-0_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25998-3

  • Online ISBN: 978-3-030-25999-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics