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.

本数据集由多源自然驾驶数据构建而来，系专为自动驾驶车辆测试打造的标准化临界场景（corner case）数据库，兼具交互模式多元、数据格式统一与适用性优异的特性。<i>corner case-openX</i> 目录收录了标准化的临界场景数据。除已提取的临界场景数据外，本数据集还在<i>corner case-videos</i> 目录中共享了大量具备显著边缘性特征的事故场景视频，此类视频以行车记录仪录制格式存储。

搜集汇总

背景与挑战

背景概述

该数据集是一个基于多源自然驾驶数据构建的标准化角案例数据库，专门用于自动驾驶车辆测试。它包含标准化的角案例数据和大量具有边缘性特征的事故场景视频，具有多样化交互模式和强适用性特点。