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Towards Outdoor Collaborative Mixed Reality: Lessons Learnt from a Prototype System

Numan, Nels; Lu, Ziwen; Congdon, Benjamin; Giunchi, Daniele; Rotsidis, Alexandros; Lernis, Andreas; Larmos, Kyriakos; ... Steed, Anthony; + view all (2023) Towards Outdoor Collaborative Mixed Reality: Lessons Learnt from a Prototype System. In: 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). (pp. pp. 113-118). IEEE: Shanghai, China. Green open access

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Abstract

Most research on collaborative mixed reality (CMR) has focused on indoor spaces. In this paper, we present our ongoing work aimed at investigating the potential of CMR in outdoor spaces. These spaces present unique challenges due to their larger and more complex nature, particularly in terms of reconstruction, tracking, and interaction. Our prototype system utilises a photorealistic model to facilitate collaboration between remote virtual reality (VR) users and a local augmented reality (AR) user. We discuss our design considerations, lessons learnt, and areas for future work.

Type: Proceedings paper
Title: Towards Outdoor Collaborative Mixed Reality: Lessons Learnt from a Prototype System
Event: 2023 IEEE Conference on Virtual Reality and 3D User Interfaces
Location: Shanghai, China
Dates: 25 Mar 2023 - 29 Mar 2023
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/VRW58643.2023.00029
Publisher version: https://doi.org/10.1109/VRW58643.2023.00029
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: mixed reality, augmented reality, virtual reality, collaboration, outdoor, city-scale, reconstruction, registration
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10167457
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