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Methods and tools for generating high detail terrain model utilized in movement and behavioral models, reflecting border control actions

机译:用于在运动和行为模型中使用高细节地形模型的方法和工具,反映边界控制动作

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This work summarizes a novel approach for discrete terrain model construction and algorithms utilizing the terrain and road network data. The models and algorithms are baseline of SymSG Border Tactics constructive simulator focusing on border control operations performed by Border Guard forces involving local population, perpetrators and other actors. Developed simulation algorithms include simulation objects movement, reconnaissance process, patrolling, pursuit, assault, identity checks, etc. and require discrete terrain model supplemented with specific characteristics delivered as coverages. SymSG Border Tactics is a distributed simulation software dedicated for tactical training including high-resolution law enforcement and opponent modelling as well as their interaction design. Required level of details within the models (single officer) enforced high detail terrain and behavioral models. Large scale of GIS data required for the simulator to perform adequate exercise execution has been a challenge. The novelty of the presented solution is hybrid approach which involves a discrete square-based terrain supplemented by the multi-layer network model for road and track system. Due to required resolution of terrain models (cells 10×10m) for larger scenarios up to 50×20km an efficient terrain representation model had to be designed followed by multi-criteria path finding algorithms. This paper presents and summarizes the process, methodology and tools which use open GIS data sources (OpenStreetMap.org) to generate terrain model further utilized by hybrid multiresolution movement algorithms.
机译:这项工作总结了利用地形和道路网络数据的离散地形模型建设和算法的新方法。模型和算法是Symsg边界策略建设模拟器的基线,其专注于边界保护部队涉及当地人口,肇事者和其他演员的边界保护部队。开发的仿真算法包括模拟对象运动,侦察过程,巡逻,追求,攻击,身份检查等,并要求补充具有作为覆盖范围的特定特征的离散地形模型。 Symsg Border Tactics是一种分布式仿真软件,专用于战术培训,包括高分辨率执法和对手建模以及它们的互动设计。模型内所需的详细信息(单人官员)强制执行高细节地形和行为模型。模拟器需要进行足够的运动执行所需的大规模GIS数据是一项挑战。所提出的解决方案的新颖性是混合方法,其涉及由用于道路和轨道系统的多层网络模型补充的离散广场的地形。由于需要更大场景的地形模型(单元10×10m)的所需分辨率,高达50×20km,必须设计有效的地形表示模型,然后是多标准路径查找算法。本文介绍了使用打开GIS数据源(OpenStreetMap.org)的过程,方法和工具来生成通过混合多分辨率移动算法进一步利用的地形模型。

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