Current research on pedestrian behavior understanding focuses on the dynamics of pedestrians and makes strong assumptions about their perceptual abilities. For instance, it is often presumed that pedestrians have omnidirectional view of the scene around them. In practice, human visual system has a number of limitations, such as restricted field of view (FoV) and range of sensing, which consequently affect decision-making and overall behavior of the pedestrians. By including explicit modeling of pedestrian perception, we can better understand its effect on their decision-making. To this end, we propose an agent-based pedestrian behavior model Intend-Wait-Perceive-Cross with three novel elements: field of vision, working memory, and scanning strategy, all motivated by findings from behavioral literature. Through extensive experimentation we investigate the effects of perceptual limitations on safe crossing decisions and demonstrate how they contribute to detectable changes in pedestrian behaviors.
翻译：目前关于行人行为理解的研究侧重于行人的动态,并对行人的感知能力作出有力的假设。例如,人们常常假定行人对周围的场景有全天观。实际上,人类视觉系统有一些局限性,例如限制视野(FoV)和感知范围,从而影响行人的决策和总体行为。通过对行人感知进行明确的模拟,我们可以更好地了解行人行为模型对行人决策的影响。为此,我们提出一个以代理人为基础的行人行为模型 Intend-wait-Percieve-Cross,其中有三个新的要素:视觉、工作记忆和扫描战略领域,所有这些都受行为文献的发现驱动。通过广泛的实验,我们调查概念限制对安全过路决定的影响,并展示它们如何促进行人行为的可探测变化。
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