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

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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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Shahid, M. A., Jesche, B. P., Olbrich, M., Graf, H., Franek, A., Kuijper, A., … Schmitt, M. (2020). Measurement Based AR for Geometric Validation Within Automotive Engineering and Construction Processes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12191 LNCS, pp. 154–165). Springer. https://doi.org/10.1007/978-3-030-49698-2_11

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