POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION

POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION

Point clouds serve as the raw material for various models, such as Building Information Models (BIM). In this work, we investigate the reconstruction steps needed to create models that can be utilized directly for agent-based simulations. The input data for the reconstruction is captured with an ind...

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Veröffentlicht in:ISPRS annals of the photogrammetry, remote sensing and spatial information sciences remote sensing and spatial information sciences, 2021-06, Vol.V-4-2021, p.113-120
Hauptverfasser: Nikoohemat, S., Godoy, P., Valkhoff, N., Wouters - van Leeuwen, M., Voûte, R., Lehtola, V. V.
Format: Artikel
Sprache:eng
Schlagworte:
Agent-based models
Algorithms
Building management systems
Evacuation
Multiagent systems
Reconstruction
Simulation
Social distancing
Three dimensional models
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Zusammenfassung:Point clouds serve as the raw material for various models, such as Building Information Models (BIM). In this work, we investigate the reconstruction steps needed to create models that can be utilized directly for agent-based simulations. The input data for the reconstruction is captured with an indoor mobile mapping system. To show the prominence of this idea, we run social distancing and evacuation simulations on the reconstructed models. The simulations are run with multiple agents using a vision-based pedestrian model and A*-based path finding algorithm. The limitations of this approach are discussed. The video of the simulation is shared with the audience.Link to the video: https://youtu.be/r2D3IxXt7Ls
ISSN:2194-9050
2194-9042
2194-9050
DOI:10.5194/isprs-annals-V-4-2021-113-2021