Plane-Based Local Behaviors for Multi-Agent 3D Simulations with Position-Based Dynamics

Ritesh Sharma, Tomer Weiss, Marcelo Kallmann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Position-Based Dynamics (PBD) has been shown to provide a flexible framework for modeling per-agent collision avoidance behavior for crowd and multi-agent simulations in planar scenarios. In this work, we propose to extend the approach such that collision avoidance reactions can utilize in a controlled way the volumetric 3D space around each agent when deciding how to avoid collisions with other agents. We propose to use separation planes for collision avoidance, using either preferred or automatically determined planes. Our results demonstrate the ability to control the spatial 3D behavior of simulated agents by constraining the produced movements according to the separation planes. Our method is generic and can be integrated with different crowd simulation techniques. We also compare our results with a 3D collision avoidance method based on Reciprocal Velocity Obstacles (RVOs).

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages214-217
Number of pages4
ISBN (Electronic)9781728174631
DOIs
StatePublished - Dec 2020
Externally publishedYes
Event3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020 - Virtual, Utrecht, Netherlands
Duration: Dec 14 2020Dec 18 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020

Conference

Conference3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020
Country/TerritoryNetherlands
CityVirtual, Utrecht
Period12/14/2012/18/20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Media Technology

Keywords

  • 3D collision avoidance
  • 3D multi-agent simulation
  • crowd simulation

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