• Login
    View Item 
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 36 (2017)
    • 36-Issue 2
    • View Item
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 36 (2017)
    • 36-Issue 2
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Gradient-based Steering for Vision-based Crowd Simulation Algorithms

    Thumbnail
    View/Open
    v36i2pp337-348.pdf (5.081Mb)
    2017_dutra_eg_additional.pdf (3.658Mb)
    2017_dutra_eg_video.mp4 (55.29Mb)
    Date
    2017
    Author
    Dutra, Teofilo B.
    Marques, Ricardo
    Cavalcante-Neto, Joaquim Bento
    Vidal, Creto A.
    Pettré, Julien
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    Most recent crowd simulation algorithms equip agents with a synthetic vision component for steering. They offer promising perspectives through a more realistic simulation of the way humans navigate according to their perception of the surrounding environment. In this paper, we propose a new perception/motion loop to steering agents along collision free trajectories that significantly improves the quality of vision-based crowd simulators. In contrast with solutions where agents avoid collisions in a purely reactive (binary) way, we suggest exploring the full range of possible adaptations and retaining the locally optimal one. To this end, we introduce a cost function, based on perceptual variables, which estimates an agent's situation considering both the risks of future collision and a desired destination. We then compute the partial derivatives of that function with respect to all possible motion adaptations. The agent then adapts its motion by following the gradient. This paper has thus two main contributions: the definition of a general purpose control scheme for steering synthetic vision-based agents; and the proposition of cost functions for evaluating the perceived danger of the current situation. We demonstrate improvements in several cases.
    BibTeX
    @article {10.1111:cgf.13130,
    journal = {Computer Graphics Forum},
    title = {{Gradient-based Steering for Vision-based Crowd Simulation Algorithms}},
    author = {Dutra, Teofilo B. and Marques, Ricardo and Cavalcante-Neto, Joaquim Bento and Vidal, Creto A. and Pettré, Julien},
    year = {2017},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13130}
    }
    URI
    http://dx.doi.org/10.1111/cgf.13130
    https://diglib.eg.org:443/handle/10.1111/cgf13130
    Collections
    • 36-Issue 2

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA
     

     

    Browse

    All of Eurographics DLCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    BibTeX | TOC

    Create BibTeX Create Table of Contents

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA