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This paper extends the previously established framework of pedestrian archetypes by introducing seven new categories based on detailed analysis of YouTube dash-cam footage. The new archetypes reveal significant behavioral differences that were not captured by the original twelve, enhancing the understanding of pedestrian dynamics in traffic scenarios. This extension is crucial for improving the safety testing of autonomous vehicles by providing a more comprehensive representation of pedestrian behaviors.
Seven newly identified pedestrian archetypes reveal critical behavioral nuances that could significantly impact autonomous vehicle safety testing.
In our prior work, Pedestrian Archetypes, we defined pedestrian archetypes as collections of behaviors that uniquely identify a specific type of pedestrian. The first paper proposed 12 pedestrian archetypes, including the Wanderer, Drunk, Distracted, Flash, Indecisive, Blind, Flock, Jaywalker, Elderly, Kid, Eventful, and Parked Pedestrian. These archetypes were introduced to move beyond single behavior labels and provide a more natural way to describe how dangerous pedestrians actually behave progressively in real-world traffic scenarios. However, upon further annotation of YouTube dash-cam videos, we identified 7 additional pedestrian archetypes with observable and significant behavioral differences from the previously proposed ones. These new archetypes capture pedestrian behavior patterns that could not be fully explained by the original taxonomy. In this pre-print, we introduce each new archetype, define its essential and optional behaviors, explain how it differs from previously proposed archetypes, and provide video-frame evidence showing the archetype in action.