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首页> 外文期刊>IEEE transactions on visualization and computer graphics >Heter-Sim: Heterogeneous Multi-Agent Systems Simulation by Interactive Data-Driven Optimization
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Heter-Sim: Heterogeneous Multi-Agent Systems Simulation by Interactive Data-Driven Optimization

机译：HOTER-SIM：通过交互式数据驱动优化模拟异质多智能体系

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摘要

Interactive multi-agent simulation algorithms are used to compute the trajectories and behaviors of different entities in virtual reality scenarios. However, current methods involve considerable parameter tweaking to generate plausible behaviors. We introduce a novel approach (Heter-Sim) that combines physics-based simulation methods with data-driven techniques using an optimization-based formulation. Our approach is general and can simulate heterogeneous agents corresponding to human crowds, traffic, vehicles, or combinations of different agents with varying dynamics. We estimate motion states from real-world datasets that include information about position, velocity, and control direction. Our optimization algorithm considers several constraints, including velocity continuity, collision avoidance, attraction, direction control. Other constraints are implemented by introducing a novel energy function to control the motions of heterogeneous agents. To accelerate the computations, we reduce the search space for both collision avoidance and optimal solution computation. Heter-Sim can simulate tens or hundreds of agents at interactive rates and we compare its accuracy with real-world datasets and prior algorithms. We also perform user studies that evaluate the plausible behaviors generated by our algorithm and a user study that evaluates the plausibility of our algorithm via VR.
机译：交互式多代理仿真算法用于计算虚拟现实方案中不同实体的轨迹和行为。然而，当前方法涉及相当大的参数调整以产生合理的行为。我们介绍了一种新的方法（HOLE-SIM），它使用基于优化的配方与数据驱动技术结合了基于物理的仿真方法。我们的方法是通用的，可以模拟与人群，交通，车辆或不同动力学的不同代理的组合相对应的异质剂。我们从包含有关位置，速度和控制方向的信息的真实数据集来估计运动状态。我们的优化算法考虑了多个约束，包括速度连续性，碰撞避免，吸引力，方向控制。通过引入新的能量功能来实现其他约束来控制异质剂的运动。为了加速计算，我们减少了碰撞避免和最佳解决方案计算的搜索空间。 HOTER-SIM可以以交互式速率模拟数十或数百个代理，并将其与现实世界数据集和现有算法进行比较。我们还执行用户研究，评估我们的算法生成的合理行为和用户学习，通过VR评估算法的合理性。

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