Corner-Case Dataset for Autonomous Vehicle Testing Based on Naturalistic Driving Data

This is a dataset constructed from multi-source naturalistic driving data, forming a standardized corner-case database specifically designed for autonomous vehicle testing. It features diverse interaction patterns, a unified data format, and strong applicability.The <i>corner case-openX</i> directory contains standardized corner case data. In addition to the extracted corner-case data, a substantial volume of accident scenario videos exhibiting pronounced marginality characteristics—stored as tachograph recordings—are shared in the <i>corner case-videos</i> directory.本数据集基于多源自然驾驶数据构建，形成了专为自动驾驶车辆测试打造的标准化极端场景（corner case）数据库，具备交互模式丰富、数据格式统一、工程适用性强的特点。<i>corner case-openX</i> 目录存储标准化极端场景数据。除已提取的极端场景数据外，本数据集还在<i>corner case-videos</i> 目录中共享了海量具备显著边缘性特征的事故场景视频，此类视频均以行车记录仪录像格式存储。