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Visual-information-driven model for crowd simulation using temporal convolutional network
April 10, 2024, 4:43 a.m. | Xuanwen Liang, Eric Wai Ming Lee
cs.LG updates on arXiv.org arxiv.org
Abstract: Crowd simulations play a pivotal role in building design, influencing both user experience and public safety. While traditional knowledge-driven models have their merits, data-driven crowd simulation models promise to bring a new dimension of realism to these simulations. However, most of the existing data-driven models are designed for specific geometries, leading to poor adaptability and applicability. A promising strategy for enhancing the adaptability and realism of data-driven crowd simulation models is to incorporate visual information, …
abstract arxiv building cs.ai cs.lg data data-driven design experience however information knowledge network pivotal public public safety role safety simulation simulations temporal type visual
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