ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Search conference papers
Download
PDF XML
Citation
Articles | Volume V-4-2021
Articles | Volume V-4-2021
https://doi.org/10.5194/isprs-annals-V-4-2021-113-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-V-4-2021-113-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume V-4-2021
17 Jun 2021
 | 17 Jun 2021

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

S. Nikoohemat, P. Godoy, N. Valkhoff, M. Wouters - van Leeuwen, R. Voûte, and V. V. Lehtola

Keywords: Point Clouds, Indoor 3D Modeling, Agent Based Simulation, Disaster Management, Social Distancing, Evacuation

Abstract. 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

How to cite. Nikoohemat, S., Godoy, P., Valkhoff, N., Wouters - van Leeuwen, M., Voûte, R., and Lehtola, V. V.: POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 113–120, https://doi.org/10.5194/isprs-annals-V-4-2021-113-2021, 2021.