100-Car Data

The 100-Car Naturalistic Driving Study was an instrumented vehicle study conducted in the Northern Virginia / Washington, D.C. area over a 2 year period. The primary purpose of the study was to collect large scale naturalistic driving data. To this end, the instrumentation was designed to be unobtrusive, study participants were given no special instructions, and experimenters were not present. Approximately 100 vehicles were instrumented with a suite of sensors including forward and rearward radar, lateral and longitudinal accelerometers, gyro, GPS, access to the vehicle CAN, and five channels of compressed digital video. Collection rates for the various sensors ranged from 1Hz to 10Hz. This collection effort resulted in approximately 2,000,000 vehicle miles and 43,000 hours of driving data. Detailed video analysis has been compiled for 68 crashes and 760 near crashes.

100车自然驾驶研究（100-Car Naturalistic Driving Study）是一项在北弗吉尼亚州/华盛顿特区区域开展的车载仪表研究，历时两年。本研究的核心目标为采集大规模自然驾驶数据。为此，研究设计的监测仪器力求隐蔽无扰，未向研究参与者施加任何特殊实验指令，且实验人员全程不现场介入。共计约100台测试车辆搭载了一套传感器套件，包含前向与后向雷达、横向与纵向加速度计、陀螺仪、全球定位系统（GPS）、车辆控制器局域网（CAN）接口，以及五路压缩数字视频通道。各类传感器的采集频率介于1Hz至10Hz之间。本次数据采集累计获得约200万车辆英里的行驶里程与4.3万小时的驾驶数据。针对68起碰撞事故与760起临界碰撞险情，已完成详细的视频分析工作。

AI搜集汇总

背景与挑战

背景概述

该数据集是100-Car自然驾驶研究的数据，通过在约100辆车上安装多种传感器（如雷达、加速度计、GPS和视频），在两年内收集了约200万英里行驶里程和4.3万小时的大规模自然驾驶数据。其特点包括非侵入式数据采集，以及对68起碰撞和760起接近碰撞事件进行了详细视频分析，适用于驾驶行为和安全研究。