UAH-DriveSet

UAH-DriveSet是由不同环境中的各种测试人员通过我们的驾驶监控应用DriveSafe捕获的公开数据集合。该数据集试图通过提供大量变量来促进驾驶分析领域的进展，这些变量在独立驾驶测试期间由智能手机的所有传感器和功能捕获和处理。该应用程序在6种不同的驾驶员和车辆上运行，在两种类型的道路 (高速公路和次要道路) 上执行3种不同的行为 (正常，昏昏欲睡和攻击性)，导致超过500分钟的自然驾驶与其相关的原始数据和附加语义信息，连同旅行的录像。您可以在下载区下载数据集。

UAH-DriveSet is a public dataset captured by multiple testers across various environments using our driving monitoring application DriveSafe. This dataset aims to advance research in the field of driving analysis by providing a rich set of variables that are captured and processed by all sensors and built-in functionalities of smartphones during individual driving tests. The application was deployed across 6 distinct driver-vehicle pairs, with three different driving behaviors (normal, drowsy, and aggressive) performed on two road types (highways and secondary roads), resulting in over 500 minutes of natural driving sessions along with their associated raw data, supplementary semantic information, and recorded travel videos. The dataset is available for download in the download section.

搜集汇总

背景与挑战

背景概述

UAH-DriveSet是一个用于驾驶行为分析的公开数据集，通过智能手机应用采集了6名驾驶员在高速公路和次要道路上的正常、昏昏欲睡和攻击性驾驶行为数据，包含超过500分钟的原始传感器数据、语义信息和录像。该数据集旨在促进自动驾驶研究，由Universidad de Alcalá于2016年发布。