Pith. sign in

REVIEW 1 cited by

Real-time Collaboration Between Mixed Reality Users in Geo-referenced Virtual Environment

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2010.01023 v1 pith:5UGPNB4F submitted 2020-10-02 cs.HC

classification cs.HC
keywords usercollaborationusersenvironmentreal-timecross-platformgeo-referencedmixed
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Collaboration using mixed reality technology is an active area of research, where significant research is done to virtually bridge physical distances. There exist a diverse set of platforms and devices that can be used for a mixed-reality collaboration, and is largely focused for indoor scenarios, where, a stable tracking can be assumed. We focus on supporting collaboration between VR and AR users, where AR user is mobile outdoors, and VR user is immersed in true-sized digital twin. This cross-platform solution requires new user experiences for interaction, accurate modelling of the real-world, and working with noisy outdoor tracking sensor such as GPS. In this paper, we present our results and observations of real-time collaboration between cross-platform users, in the context of a geo-referenced virtual environment. We propose a solution for using GPS measurement in VSLAM to localize the AR user in an outdoor environment. The client applications enable VR and AR user to collaborate across the heterogeneous platforms seamlessly. The user can place or load dynamic contents tagged to a geolocation and share their experience with remote users in real-time.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Survey on Methodological Approaches to Collaborative Embodiment in Virtual Reality

    cs.HC 2025-06 conditional novelty 6.0 of 10

    A PRISMA-based survey of 137 papers maps the methods, metrics, tasks, and gaps in collaborative embodiment VR research.

Pith tools