A Quest for Co-Located Mixed Reality: Aligning and Assessing SLAM Tracking for Same-Space Multi-User Experiences

McGill, M., Gugenheimer, J. and Freeman, E. (2020) A Quest for Co-Located Mixed Reality: Aligning and Assessing SLAM Tracking for Same-Space Multi-User Experiences. In: ACM Symposium on Virtual Reality, Software and Technology (VRST 2020), 1-4 Nov 2020, ISBN 9781450376198 (doi:10.1145/3385956.3418968)

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Abstract

Current solutions for creating co-located Mixed Reality (MR) experiences typically rely on platform-specific synchronisation of spatial anchors or Simultaneous Localisation and Mapping (SLAM) data across clients, often coupled to cloud services. This introduces significant costs (in development and deployment), constraints (with interoperability across platforms often limited), and privacy concerns. For practitioners, support is needed for creating platform-agnostic co-located MR experiences. This paper explores the utility of aligned SLAM solutions by 1) surveying approaches toward aligning disparate device coordinate spaces, formalizing their theoretical accuracy and limitations; 2) providing skeleton implementations for audience-based, small-scale and large-scale co-location using said alignment approaches; and 3) detailing how we can assess the accuracy and safety of 6DoF/SLAM tracking solutions for any arbitrary device and dynamic environment without the need for an expensive ground truth optical tracking, by using trilateration and a $30 laser distance meter. Through this, we hope to further democratise the creation of cross-platform co-located MR experiences.

Item Type:Conference Proceedings
Additional Information:This research received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (#835197, ViAjeRo).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Freeman, Dr Euan and McGill, Dr Mark
Authors: McGill, M., Gugenheimer, J., and Freeman, E.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781450376198
Copyright Holders:Copyright © 2020 The Authors
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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