Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications

SLAM is a foundational technique with broad applications in robotics and AR/VR. SLAM simulations evaluate new concepts, but testing on resource-constrained devices, such as VR HMDs, faces challenges: high computational cost and restricted sensor data access. This work proposes a sparse framework using mesh geometry projections as features, which improves efficiency and circumvents direct sensor data access, advancing SLAM research as we demonstrate in VR and through numerical evaluation.

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Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00021
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
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article

Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications

Heiko Hamann, Oliver Deußen, Carlos Sousa
Augmented Reality Applications
article

Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications

Heiko Hamann, Oliver Deußen, Carlos Sousa
article en

Abstract

SLAM is a foundational technique with broad applications in robotics and AR/VR. SLAM simulations evaluate new concepts, but testing on resource-constrained devices, such as VR HMDs, faces challenges: high computational cost and restricted sensor data access. This work proposes a sparse framework using mesh geometry projections as features, which improves efficiency and circumvents direct sensor data access, advancing SLAM research as we demonstrate in VR and through numerical evaluation.

University of Konstanz (DE)
Openalex Percentile: Top 93%
Augmented Reality Applications
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Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications — Heiko Hamann, Oliver Deußen, et al. · (2025) | TGRS Research Map | TGRS