行人原型扩展——用于自动驾驶车辆安全测试的更多行人模型
Pedestrian Archetypes Extension -- More Pedestrian Models for Autonomous Vehicle Safety Testing
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中文总结 AI 辅助
研究在行人原型基础上，通过注释YouTube行车记录仪视频，识别出7种新的行人原型，介绍其行为，阐述与旧原型差异并提供视频证据，为自动驾驶车辆安全测试提供更多行人模型。
中文摘要 AI 辅助
在我们之前的工作《行人原型》中，我们将行人原型定义为唯一标识特定类型行人的行为集合。第一篇论文提出了12种行人原型，包括漫步者、醉酒者、分心者、闪行者、优柔寡断者、盲人、群体、乱穿马路者、老年人、儿童、多变者和停车行人。引入这些原型是为了超越单一行为标签，提供一种更自然的方式来描述危险行人在现实交通场景中实际逐步的行为方式。然而，在对YouTube行车记录仪视频进行进一步注释后，我们识别出7种额外的行人原型，它们与先前提出的原型存在明显的行为差异。这些新原型捕捉到了原始分类法无法完全解释的行人行为模式。在本预印本中，我们介绍每种新原型，定义其基本和可选行为，解释其与先前提出的原型的不同之处，并提供显示该原型实际应用的视频帧证据。
英文摘要
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.
发表机构
- Stanford University（斯坦福大学）
- University of California San Diego（加利福尼亚大学圣地亚哥分校）
- University of Washington（华盛顿大学）
机构由 AI 辅助整理，请以论文原文为准。
