Mobile Augmented Reality Application to Evaluate the River Flooding Impact in Coimbra

The downtown area of the city of Coimbra, Portugal, is at low altitude and has historically suffered floods that have caused serious economic losses. The present research proposes a mobile augmented reality (MAR) application aimed at visualising the effect of possible scenarios of flooding in an area of higher risk in the city. A realistic 3D model of the city was created, using data extracted with BLosm and processed through Blender, followed by its integration into Unity with Vuforia for AR visualisation. The methodology encompasses the extraction and simplification of 3D models, mapping real-world coordinates in Unity, analysing several datasets, obtaining a model through regression and implementing a workflow to manage interactions between various Unity objects. The MAR application enables users to visualise potential flood impacts on buildings, utilising colour-coded indicators to represent different levels of water contact. The system’s efficacy was evaluated by simulating various use-case scenarios, demonstrating the application’s capability to provide real-time, interactive flood risk assessments. The results underline the potential of integrating AR and machine learning for enhancing urban flood management and prevention.

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Publication Details

Journal
Applied Sciences
Published
2024-11-02
DOI
https://doi.org/10.3390/app142110017
Citations
2
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
0.50
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article

Mobile Augmented Reality Application to Evaluate the River Flooding Impact in Coimbra

Rudi Giot, Mateus Mendes, Jorge Almeida, Mehdi Lamrabet
2 citations
Applied Sciences
Augmented Reality Applications
0.50
article

Mobile Augmented Reality Application to Evaluate the River Flooding Impact in Coimbra

Rudi Giot, Mateus Mendes, Jorge Almeida, Mehdi Lamrabet
article en
2 citations

Abstract

The downtown area of the city of Coimbra, Portugal, is at low altitude and has historically suffered floods that have caused serious economic losses. The present research proposes a mobile augmented reality (MAR) application aimed at visualising the effect of possible scenarios of flooding in an area of higher risk in the city. A realistic 3D model of the city was created, using data extracted with BLosm and processed through Blender, followed by its integration into Unity with Vuforia for AR visualisation. The methodology encompasses the extraction and simplification of 3D models, mapping real-world coordinates in Unity, analysing several datasets, obtaining a model through regression and implementing a workflow to manage interactions between various Unity objects. The MAR application enables users to visualise potential flood impacts on buildings, utilising colour-coded indicators to represent different levels of water contact. The system’s efficacy was evaluated by simulating various use-case scenarios, demonstrating the application’s capability to provide real-time, interactive flood risk assessments. The results underline the potential of integrating AR and machine learning for enhancing urban flood management and prevention.

Applied SciencesVol. 14(21)
Polytechnic Institute of Coimbra (PT), Institute for Systems Engineering and Computers (PT), Haute École de Bruxelles (BE), University of Coimbra (PT)
Sustainable cities and communities
Openalex Percentile: Top 34%
Augmented Reality Applications
0.50
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Mobile Augmented Reality Application to Evaluate the River Flooding Impact in Coimbra — Rudi Giot, Mateus Mendes, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS