An Augmented Reality System Architecture for Flood Management
Alexios Stavroulakis, Despina Dimelli, Michail Roumeliotis, Aikaterini Mania
2024
Abstract
Flooding represents a considerable danger to both human lives and possessions, rendering it a prevalent natural hazard. Navigation and risk assessment methods, in dynamically changing flood environments, are dependent on flood visualization methods. Addressing the limitations of 2D visualization as well as Virtual Reality (VR) setups that are employed in off-site simulations, this paper presents the system architecture of a novel system for real-time urban flood management utilizing head-worn AR, integrating extreme scale data. Our system architecture will offer a depiction of urban flood inundation in the city of Dortmund, Germany, dynamically visualizing potential evacuation routes and water levels, on-site, in urban areas, while rescuers are in operation. The system’s integration with large-scale data analytics will allow the dynamic combination of weather forecasts, sensor networks, historical flood data and urban topography.
DownloadPaper Citation
in Harvard Style
Stavroulakis A., Dimelli D., Roumeliotis M. and Mania A. (2024). An Augmented Reality System Architecture for Flood Management. In Proceedings of the 10th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM; ISBN 978-989-758-694-1, SciTePress, pages 211-218. DOI: 10.5220/0012778800003696
in Bibtex Style
@conference{gistam24,
author={Alexios Stavroulakis and Despina Dimelli and Michail Roumeliotis and Aikaterini Mania},
title={An Augmented Reality System Architecture for Flood Management},
booktitle={Proceedings of the 10th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM},
year={2024},
pages={211-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012778800003696},
isbn={978-989-758-694-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 10th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM
TI - An Augmented Reality System Architecture for Flood Management
SN - 978-989-758-694-1
AU - Stavroulakis A.
AU - Dimelli D.
AU - Roumeliotis M.
AU - Mania A.
PY - 2024
SP - 211
EP - 218
DO - 10.5220/0012778800003696
PB - SciTePress