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Collaborative and Non-Collaborative Dynamic Path Prediction Algorithm for Mobile Agents Collision Detection with Dynamic Obstacles in 3D Space

机译:移动代理碰撞检测与3D空间动态障碍的协作和非协同动态路径预测算法

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In this research the extension of the algorithm for dynamic collaborative path prediction for mobile agents is proposed. This algorithm is inspired by human behavior in group of dynamical obstacles. Mobile agent in collaborative manner uses coordinates of other mobile agents in the same environment to calculate and based on statistical methods predict future path of other objects. For this purpose spatial-temporal variables are decomposed in order to optimize the method and to make it more efficient. This algorithm can be used in mobile robotics, automobile industry and aeronautics. Moreover this method allows full decentralization of collision detection which allows many advantages from minimizing of network traffic to simplifying of inclusion of additional agents in relevant space. Imple mentation of the algorithm will be low resource consuming allowing mobile agents to free resources for additional tasks.
机译:在这项研究中,提出了一种用于移动代理动态协作路径预测算法的扩展。该算法在动态障碍组中受到人类行为的启发。协同方式的移动代理使用同一环境中其他移动代理的坐标来计算和基于统计方法预测其他对象的未来路径。为此目的,空间 - 时间变量被分解,以优化该方法并使其更有效。该算法可用于移动机器人,汽车行业和航空学。此外,该方法允许完全分散碰撞检测,这允许许多优点使网络流量最小化,以简化相关空间中的附加剂。算法的IMPLED算法将是低资源消耗允许移动代理以获得额外任务的免费资源。

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