TY  - CONF
AU  - Li, Ke
AU  - Schmidt, Susanne
AU  - Rolff, Tim
AU  - Bacher, Reinhard
AU  - Leemans, Wim
AU  - Steinicke, Frank
TI  - Interactive Data Fusion of Neural Radiance Fields for Industrial Facility Inspection in Virtual Reality
CY  - Piscataway, NJ
PB  - IEEE
M1  - PUBDB-2025-02134
SN  - 979-8-3503-7449-0
SP  - 815 - 816
PY  - 2024
N1  - Literaturangaben; "The 31st IEEE Conference on Virtual Reality and 3D User Interfaces" - Konferenz - Homepage;
AB  - 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.
T2  - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops
CY  - 16 Mar 2024 - 21 Mar 2024, Orlando (USA)
Y2  - 16 Mar 2024 - 21 Mar 2024
M2  - Orlando, USA
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1109/VRW62533.2024.00204
UR  - https://bib-pubdb1.desy.de/record/632206
ER  -