2013
DHSS 2013 Proceeding
Modeling and simulation of land avoidance behavior belonging to tactical entities within a high-fidelity simulation environment
Authors: Levent Senyurek, Deniz Aldogan Aldogan, Mehmet Haklidir
Abstract
The implementation of tactical entity land avoidance behavior integrated with realistic motion models is a crucial issue for a military simulation aiming high-fidelity. In this study, realistic surface platform land avoidance behavior has been implemented by utilizing a specific artificial intelligence path planning approach, namely, the vector field algorithm. The avoidance behavior is realized in conjunction with the automatic order execution behavior. A commercial simulation engine provided by the VR-Forces toolkit has been chosen for the implementation of computer- generated forces (CGF). Software modules and libraries for land avoidance as well as dynamic motion models and fuzzy controllers are all integrated into the component architecture of this CGF simulation engine. Results show that surface entities in the simulation exhibit realistic land avoidance behavior in parallel with order execution even in worst cases such as land crossing ordered paths and high ordered speeds.
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