Contribution to a conference proceedings/Contribution to a book

PUBDB-2025-02134

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Interactive Data Fusion of Neural Radiance Fields for Industrial Facility Inspection in Virtual Reality

Li, K. (Corresponding author)DESY* ; Schmidt, S.Extern* ; Rolff, T. ; Bacher, R.DESY* ; Leemans, W.DESY* ; Steinicke, F.

2024
IEEE Piscataway, NJ
ISBN: 979-8-3503-7449-0

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Please use a persistent id in citations: doi:10.1109/VRW62533.2024.00204

Abstract: Real-world industrial facilities often present complex equipment that requires extensive inspection and maintenance for their operations. In this work, we present a virtual reality (VR) framework that supports virtual facility inspection and maintenance tasks by using neural radiance fields (NeRF) models to replicate, store, and visualize the appearance of complex industrial facilities. To overcome the performance bottleneck of VR NeRF rendering, we present two novel interactive data fusion techniques that can merge a NeRF model with its' corresponding CAD model through a mixed reality tunneling effect and contextual 3D NeRF drawing interaction. Technical benchmarking results and preliminary expert feedback are presented for the initial evaluation of our framework.

Note: Literaturangaben; "The 31st IEEE Conference on Virtual Reality and 3D User Interfaces" - Konferenz - Homepage;

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Contributing Institute(s):

1. Bereichsleitung Beschleuniger / Bereich Beschleuniger (M)

Research Program(s):

1. 621 - Accelerator Research and Development (POF4-621) (POF4-621)

Experiment(s):

1. No specific instrument

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