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

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-20
DOI
https://doi.org/10.5281/zenodo.19663194
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Attila Gilányi, Abdullah Albazooni
Zenodo (CERN European Organization for Nuclear Research)
Multimodal Machine Learning Applications
article

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

Attila Gilányi, Abdullah Albazooni
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
Multimodal Machine Learning Applications
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Towards Automatic VR Scene Generation for Safety Training Scenarios Using Manually Annotated 3D Object and Spatial Relation Data — Attila Gilányi, Abdullah Albazooni · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS