基于多维度安全设计的故障检测方法数据集

该数据集主要面向基于多维度安全设计的故障检测方法研究，通过PC端测试程序采集，主要记录了（1）EEI架构下C-V2X通信故障检测研究数据：车辆的X坐标、Y坐标、航向角、宽度、长度、X方向速度、Y方向速度、X方向加速度、Y方向加速度等数据。（2）EEI架构下智能驾驶系统故障检测研究数据：智能驾驶系统故障检测方法的研究数据。（3）EEI架构下整车控制系统故障检测研究数据：整车控制系统故障下的车辆状态、检测阈值和检测结果。数据量60MB。This dataset is primarily intended for research on fault detection methods leveraging multi-dimensional security design, and was collected through PC-side test programs. It primarily comprises three categories of data: 1. Data for C-V2X communication fault detection research under the EEI architecture: including vehicle X-coordinate, Y-coordinate, heading angle, width, length, X-direction velocity, Y-direction velocity, X-direction acceleration, Y-direction acceleration, and other related metrics; 2. Data for intelligent driving system fault detection research under the EEI architecture: research data focused on fault detection methods for intelligent driving systems; 3. Data for vehicle control system fault detection research under the EEI architecture: vehicle states, detection thresholds, and detection results corresponding to faults occurring in the vehicle control system. The total size of this dataset is 60 MB.

搜集汇总

背景与挑战

背景概述

该数据集面向基于多维度安全设计的故障检测研究，通过PC端测试程序采集，覆盖EEI架构下C-V2X通信故障检测数据（含车辆坐标、速度、加速度等）、智能驾驶系统故障检测数据以及整车控制系统故障检测数据（含车辆状态、检测阈值与结果），数据量约60MB。数据集源自网联自动驾驶车辆多域电子电气信息架构技术研究项目，旨在支撑故障检测方法的研究与验证。