扩充行人类型分类，提升自动驾驶测试真实性
Pedestrian Archetypes Extension -- More Pedestrian Models for Autonomous Vehicle Safety Testing
- 基于真实行车视频，新增7类行人行为模式
- 每类新原型均有可观察行为特征与实例帧支持
- 适合自动驾驶安全测试与仿真系统优化者
在前期工作中，我们提出了行人原型（Pedestrian Archetypes），将行人行为归纳为12类独特类型，包括漫游者、醉酒者、分心者、突然冲出者、犹豫者、盲人、群体行进者、随意过街者、老年人、儿童、活动参与者和静止行人。这些原型旨在突破单一行为标签的局限，更自然地描述真实交通场景中行人危险行为的渐进性特征。然而，在对更多YouTube行车记录视频进行深入标注后，我们识别出7种与原有分类有显著行为差异的新行人原型。这些新原型捕捉了原分类体系无法充分解释的行为模式。本文预印本中，我们逐一介绍每类新原型，定义其核心与可选行为特征，阐明其与已有原型的区别，并提供实际视频帧证据展示其具体表现。
原文摘要 · Abstract (English)
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.
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