3 research outputs found

    Scene Synchronization in Close Coupled World Representations using SCIVE

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    International audienceThis paper introduces SCIVE, a Simulation Core for Intelligent Virtual Environments. SCIVE provides a Knowledge Representation Layer (KRL) as a central organizing structure. Based on a semantic net, it ties together the data representations of the various simulation modules, e.g., for graphics, physics, audio, haptics or Artificial Intelligence (AI) representations. SCIVE's open architecture allows a seamless integration and modification of these modules. Their data synchronization is widely customizable to support extensibility and maintainability. Synchronization can be controlled through filters which in turn can be instantiated and parametrized by any of the modules, e.g., the AI component can be used to change an object's behavior to be controlled by the physics instead of the interaction- or a keyframe-module. This bidirectional inter- module access is mapped by, and routed through, the KRL which semantically reflects all objects or entities the simulation comprises. Hence, SCIVE allows extensive application design and customization from low-level core logic, module configuration and flow control, to the simulated scene, all on a high-level unified representation layer while it supports well known development paradigms commonly found in Virtual Reality application

    Scene Synchronization in Close Coupled World Representations using SCIVE

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    Knowledge Representation Layer (KRL)  as a central organizing structure. Based   on   a   semantic   net,   it   ties   together   the   data representations of   the   various   simulation   modules,   e.g.,   for graphics,  physics,  audio,  haptics or Artificial Intelligence (AI) representations. SCIVE's   open   architecture   allows   a   seamless integration and   modification   of   these   modules. Their   data synchronization is widely customizable to support extensibility and maintainability. Synchronization can be controlled through filters which in turn can be instantiated and parametrized by any of the modules,  e.g.,  the AI component can be used to change an object's behavior to be controlled by the physics instead of the interaction   or   a   keyframemodule. This   bidirectional   intermodule access is   mapped   by,   and   routed   through,   the   KRL which semantically reflects all objects or entities the simulation comprises. Hence,   SCIVE   allows   extensive   application   design and customization   from   lowlevel   core   logic,   module configuration and flow control,  to the simulated scene,  all on a highlevel unified   representation   layer   while   it   supports   well known development   paradigms   commonly   found   in   Virtual Reality applications
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