Crowd Simulation with Feedback Based on Locomotion State
Crowd Simulation with Feedback Based on Locomotion State
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DOI：
10.1109/cw55638.2022.00026
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发表时间：
2022-09
期刊：
影响因子：
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通讯作者：
Masaki Oshita;Jumpei Harazono;Kunio Yamamoto
中科院分区：
文献类型：
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作者：
Masaki Oshita;Jumpei Harazono;Kunio Yamamoto
大多数人群模拟方法将每个代理视为一个点，并模拟这些点的移动。虽然可以基于点的轨迹来生成虚拟角色的动画，但是所生成的运动经常变得不自然。例如，一个智能体可能会在一步中间突然改变它的行走方向，尽管人类不可能这样做。我们提出了一种人群模拟方法，认为运动状态的代理。当智能体处于步骤中间时，向智能体施加反馈力以防止智能体突然改变行走方向。然而，当智能体站立或在步骤开始时，允许智能体自由地改变其行走方向。我们目前的实验结果和评估所提出的方法的有效性。
Most crowd simulation methods treat each agent as a point and simulate the movements of these points. Although animations of virtual characters can be generated based on the trajectories of points, the generated motions often become unnatural. For example, an agent may change its walking direction suddenly in the middle of a step, even though it is impossible for humans to do so. We propose a crowd simulation method that considers the locomotion state of an agent. When an agent is in the middle of the step, a feedback force is applied to the agent to prevent the agent from suddenly changing the walking direction. However, when an agent is standing or at the beginning of the step, the agent is allowed to change its walking direction freely. We present experimental results and evaluate the effectiveness of the proposed method.