Machine Learning Enabled Mixed Reality Systems - For Evaluation and Validation of Augmented Experience in Aircraft Maintenance-Reference-Cited by-同舟云学术

Machine Learning Enabled Mixed Reality Systems - For Evaluation and Validation of Augmented Experience in Aircraft Maintenance

Published:2023-03-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on Virtual and Augmented Reality Simulations
language:
Short-container-title:

Author:

Gulrez Tauseef¹^ORCID,Kekoc Vlado¹^ORCID,Gaurvit Emmanuel²^ORCID,Schuhmacher Mark²^ORCID,Mills Tony¹^ORCID

Affiliation:

1. Aerospace Platform Systems, Defence Science and Technology Group, Australia

2. Ground Software Team, Capability, Airbus Australia Pacific, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603421.3603432

Reference19 articles.

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5. Tauseef Gulrez , Vlado Kekoc , Doug Williams , Tony Mills , Vim Verhagen , James Ong , and Pier Marzocca . 2021 . A physical load metric development for assessment of mixed reality in aircraft inspection tasks . In AIAC 2021: 19th Australian International Aerospace Congress , Melbourne, Australia. pages 167–172. Engineers Australia. Tauseef Gulrez, Vlado Kekoc, Doug Williams, Tony Mills, Vim Verhagen, James Ong, and Pier Marzocca. 2021. A physical load metric development for assessment of mixed reality in aircraft inspection tasks. In AIAC 2021: 19th Australian International Aerospace Congress, Melbourne, Australia. pages 167–172. Engineers Australia.