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Current research on pedestrian behavior understanding focuses on the dynamicsof pedestrians and makes strong assumptions about their perceptual abilities.For instance, it is often presumed that pedestrians have omnidirectional viewof the scene around them. In practice, human visual system has a number oflimitations, such as restricted field of view (FoV) and range of sensing, whichconsequently affect decision-making and overall behavior of the pedestrians. Byincluding explicit modeling of pedestrian perception, we can better understandits effect on their decision-making. To this end, we propose an agent-basedpedestrian behavior model Intend-Wait-Perceive-Cross with three novel elements:field of vision, working memory, and scanning strategy, all motivated byfindings from behavioral literature. Through extensive experimentation weinvestigate the effects of perceptual limitations on safe crossing decisionsand demonstrate how they contribute to detectable changes in pedestrianbehaviors.

Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making