VTTI: SHRP 2 Phase I Efforts - Standardization and Export of Training Dataset – Development of Data Repository

The purpose of this dataset is not to conduct research but to help researchers understand the driving related variables that are available in the second Strategic Highway Research Program (SHRP2) Naturalistic Driving Study (NDS). The data can also be useful for algorithm development and testing prior to running algorithms over all or part of the SHRP2 NDS dataset. The dataset was designed with the purpose of not requiring institutional review board (IRB) approval, and includes personally identifying information, including face video, and start and stop locations that can be openly shared. For this reason it cannot be used for research and should be thought of only as a training dataset. It resides on the InSight website and is available for download at no cost to qualified users. The focus of this effort was the time series data and video collected from the data acquisition system (DAS) that resides on the vehicle, including radar. Three vehicles from the Virginia Tech Transportation Institute (VTTI) fleet were driven from Blacksburg, VA to Durham, North Carolina to collect data on the same roads included in the roadway information database (RID). Data were collected for one week and include approximately 100 trips and more than 2,500 vehicle miles. Data were processed in the same way as for the original SHRP2 NDS including: the video processing, map matching to the RID, and the post processing done on the radar. It is downloadable in a 10 Hertz synchronized format. Access to the video is provided with each individual camera view separated and processed in the same manner as the main SHRP2 NDS dataset. The map matching yielded a heat map showing the trips driven on each road including origin and destination (i.e., does not require the current PII protection placed on the SHRP2 NDS). Therefore each trip is shown on the heat map from beginning to end. Since this was a limited data collection effort in which finding a naturally occurring scenario of interest was unlikely, several common events of interest were staged. The time of each staged scenario was documented. The following scenarios were included: Hard braking, Short headway, Low time to collision, High lateral acceleration, Vehicle cut in, and Flying pass.

搜集汇总

背景与挑战

背景概述

该数据集是VTTI为SHRP2项目开发的训练数据集，旨在帮助研究人员理解自然驾驶研究中的变量，并用于算法测试，但不能用于正式研究，因为它包含个人身份信息如面部视频和行程起止点。数据收集自三辆车一周的行程，覆盖约100次行程和超过2500英里，以10赫兹同步格式提供，并经过与SHRP2 NDS相同的标准化处理，包括视频分离、地图匹配和雷达后处理。数据集还模拟了多种常见驾驶场景（如急刹车、车辆切入等），以增强训练实用性，且热图显示完整行程路径，无需个人身份信息保护。