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Towards Automatic VR Scene Generation for Safety Training Scenarios Using Manually Annotated 3D Object and Spatial Relation Data

Year: 2026

Type: article

Abstract: This dataset comprises 100 accident reports that have been manually annotated to support the automatic generation of virtual reality scenarios using deep learning models integrated with a safety library.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19663193

Authors: Albazooni, Abdullah, Gilányi, Attila

Language: English

Topic: Simulation and Modeling Applications

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7154992735

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