Measurement Based AR for Geometric Validation Within Automotive Engineering and Construction Processes

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Virtual, Augmented and Mixed Reality. Industrial and Everyday Life Applications (HCII 2020)

Abstract

We look at the final stages of the automobile design process, during which the geometric validation process for a design, in particular for the vehicle front end, is examined. A concept is presented showing how this process can be improved using augmented reality. Since the application poses high accuracy requirements the augmented reality also needs to be highly accurate and of measurable quality. We present a Measurement Based AR approach to overlaying 3D information onto images, which extends the existing process and is particularly suited to the application in question. We also discuss how the accuracy of this new approach can be validated using computer vision methods employed under the appropriate conditions. The results of an initial study are presented, where the overlay accuracy is expressed in image pixels as well as millimeters followed by a discussion on how this validation can be improved to meet the requirements posed by the application.

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Notes

  1. 1.

    FARO 7-Axis 3D measurement unit, https://www.faro.com/, last visited Oct. 2019.

  2. 2.

    The image had a resolution of 1920 × 1080 pixels.

  3. 3.

    The HEC shows the distance between the TCP and the camera origin to be 100 mm.

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Correspondence to Muhammad Ali Shahid .

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Shahid, M.A. et al. (2020). Measurement Based AR for Geometric Validation Within Automotive Engineering and Construction Processes. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. Industrial and Everyday Life Applications. HCII 2020. Lecture Notes in Computer Science(), vol 12191. Springer, Cham. https://doi.org/10.1007/978-3-030-49698-2_11

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  • DOI: https://doi.org/10.1007/978-3-030-49698-2_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49697-5

  • Online ISBN: 978-3-030-49698-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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