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    Improved Obstacle Relevancy, Distance, and Angle for Crowds Constrained to Arbitrary Manifolds in 3D Space

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    Date
    2012
    Author
    Ricks, Brian C.
    Egbert, Parris K.
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    Abstract
    Recent work has proposed crowd simulation algorithms on arbitrary manifolds in 3D space. These algorithms simulate crowds on far more realistic surfaces than previously possible, including multi-story structures, science fiction scenarios, and habitats for insects and other animals that can walk on walls. However, current implementations can have distinct artifacts, including collision false positives and false negatives. Also, current implementations fail to account for the cylindrical shape of the characters being simulated. The resulting crowds move unnaturally and have obvious collisions. After identifying the cause of these artifacts, we propose an algorithm that does not struggle from these false positives or false negatives and correctly accounts for the non-spherical shape of agents. The resulting crowds move on large surfaces (over 100k triangles) running with a thousand agents in real-time.
    BibTeX
    @inproceedings {10.2312:conf:EG2012:short:073-076,
    booktitle = {Eurographics 2012 - Short Papers},
    editor = {Carlos Andujar and Enrico Puppo},
    title = {{Improved Obstacle Relevancy, Distance, and Angle for Crowds Constrained to Arbitrary Manifolds in 3D Space}},
    author = {Ricks, Brian C. and Egbert, Parris K.},
    year = {2012},
    publisher = {The Eurographics Association},
    ISSN = {1017-4656},
    DOI = {10.2312/conf/EG2012/short/073-076}
    }
    URI
    http://dx.doi.org/10.2312/conf/EG2012/short/073-076
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    Eurographics Association copyright © 2013 - 2023 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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