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

arXiv 2501.09600 ↗First posted 16 Jan 2025cs.RO cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 23 references that are in the map. First posted on arXiv 16 Jan 2025.

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6 of 23 references.

References · 6

  1. 2017CARLA: An Open Urban Driving Simulatorcited by 2,431
  2. 2017SuperPoint: Self-Supervised Interest Point Detection and Descriptioncited by 1,313
  3. 2015ORB-SLAM: a Versatile and Accurate Monocular SLAM Systemcited by 983
  4. 2016Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Agecited by 405
  5. 2019R2D2: Repeatable and Reliable Detector and Descriptorcited by 206
  6. 2022OA-SLAM: Leveraging Objects for Camera Relocalization in Visual SLAMcited by 17

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