智能引导驾驶模拟场景驾驶行为及视认特征数据集

数据集 2023YFE0202400-004为自主采集数据，在质量控制中计划实施针对性措施保证数据质量。数据源方面，空间维度数据及驾驶行为数据通过SCANeRStudio1.6驾驶模拟仿真软件及驾驶模拟器采集，视认特征数据通过aSee Glasses眼镜式眼动仪及PhysioLAB无线生理仪采集，采集前对这些设备进行检查调试，确保其正常工作，以保证数据源可靠；数据采集过程中，严格按照既定的采集方案操作，同步记录设备运行状态，避免因操作不当导致数据异常；数据采集完成后，对采集到的数据进行检查与校验，重点关注数据的完整性、正确性和时效性，如核查空间维度数据中的坐标是否合理、驾驶行为数据中的速度等指标是否在正常范围内、视认特征数据中的各项生理指标是否符合逻辑等，确保数据适用于后续的分析和决策支持。Dataset 2023YFE0202400-004 is a self-collected dataset, and targeted quality control measures are planned to be implemented to ensure data quality. For data sources, spatial dimension data and driving behavior data are collected via SCANeRStudio 1.6 driving simulation software and a driving simulator, while visual recognition feature data is collected using the aSee Glasses head-mounted eye tracker and PhysioLAB wireless physiological recorder. Prior to data collection, all these devices are inspected and debugged to ensure their normal operation, so as to guarantee the reliability of the data sources. During the data acquisition process, operations are strictly carried out in accordance with the pre-defined collection protocol, and the operating status of the devices is synchronously recorded to avoid data anomalies caused by improper operations. Upon completion of data collection, the acquired data is inspected and verified, with focus on the integrity, correctness and timeliness of the data. For instance, checks are conducted to verify whether the coordinates in the spatial dimension data are reasonable, whether indicators such as speed in the driving behavior data fall within the normal range, and whether various physiological indicators in the visual recognition feature data are logically consistent, so as to ensure that the data is applicable for subsequent analysis and decision support.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于智能引导驾驶模拟场景，采集了驾驶行为数据与视认特征数据，其中驾驶行为数据通过驾驶模拟仿真软件及模拟器获取，视认特征数据则利用眼镜式眼动仪和无线生理仪记录，并实施了严格的质量控制以确保数据可靠性。数据集包含143个文件，总容量为27.3MB，数据格式主要为csv和docx，适用于交通运输工程领域的分析与研究。