车载以太网测试平台功能测试数据集

本数据集包含的视频文件依托车载以太网测试平台，通过集成定制化硬件与标准化软件构建多维度测试环境，覆盖物理层至应用层全协议栈验证。硬件系统采用模块化机柜集成程控电源（Keysight N5700）、信号仿真板卡（Vector VT2004A/VT2516A）、高精度示波器（R&S RTO 64）、矢量网络分析仪（R&S ZND）及TSN时钟同步测试仪（Spirent PARAGON-X），支持100BASE-T1与1000BASE-T1的电气特性测试、IOP互操作性验证及TSN实时性分析。软件方案基于CANoe与TTworkbench开发自动化测试脚本，实现TC8、AutoSAR ETH、AVB/TSN一致性测试，集成SOME/IP安全性测试、DoS攻击模拟及模糊测试功能，通过CAPL与TTCN-3语言构建动态测试场景。数据集生成于实验室受控环境，时间范围聚焦短期高密度测试周期，时间精度达微秒级，空间范围涵盖车载ECU单节点至异构网络全域交互，通过同步盒（Vector SYNCbox）确保多设备时钟对齐。数据质量控制依托标准化测试流程（如TC8规范）与高精度仪器校准（示波器测量误差≤1%），采用冗余采集与交叉验证机制消除系统误差。潜在价值体现于推动车载以太网标准化进程，为智能驾驶系统提供可靠网络性能基准，降低整车线束成本约30%，并通过漏洞检测增强车载网络安全防护能力，支撑L3级以上自动驾驶系统的实时数据传输与功能安全认证。

This dataset’s video files are derived from an automotive Ethernet test platform, which constructs a multi-dimensional test environment by integrating customized hardware and standardized software, covering validation of the full protocol stack from the physical layer to the application layer.
The hardware system uses a modular cabinet integrating programmable power supplies (Keysight N5700), signal simulation boards (Vector VT2004A/VT2516A), high-precision oscilloscopes (R&S RTO 64), vector network analyzers (R&S ZND), and TSN clock synchronization testers (Spirent PARAGON-X). It supports electrical characteristic tests for 100BASE-T1 and 1000BASE-T1, IOP interoperability verification, and TSN real-time performance analysis.
The software solution develops automated test scripts based on CANoe and TTworkbench, enabling TC8, AUTOSAR ETH, AVB/TSN conformance testing. It integrates SOME/IP security testing, DoS attack simulation, and fuzz testing functions, and builds dynamic test scenarios via CAPL and TTCN-3 languages.
The dataset is generated in a tightly controlled laboratory environment, with its temporal scope focused on short-term, high-density test cycles and microsecond-level time accuracy. Its spatial scope spans from single in-vehicle ECU nodes to full-range interactions across heterogeneous networks, and a synchronization box (Vector SYNCbox) is used to guarantee clock alignment across all connected devices.
Data quality control is implemented via standardized test procedures (e.g., the TC8 specification) and high-precision instrument calibration, with the oscilloscope's measurement error ≤ 1%. Redundant data acquisition and cross-validation mechanisms are adopted to eliminate systematic errors.
Its potential value lies in promoting the standardization process of automotive Ethernet, providing reliable network performance benchmarks for intelligent driving systems, reducing the cost of the entire vehicle's wiring harness by approximately 30%, enhancing in-vehicle network security protection capabilities through vulnerability detection, and supporting real-time data transmission and functional safety certification for L3 and higher-level autonomous driving systems.

搜集汇总

背景与挑战

背景概述

该数据集包含车载以太网测试平台的功能测试数据，通过集成定制化硬件和标准化软件构建多维度测试环境，覆盖物理层至应用层全协议栈验证。数据集支持100BASE-T1与1000BASE-T1的电气特性测试、IOP互操作性验证及TSN实时性分析，旨在推动车载以太网标准化进程并为智能驾驶系统提供可靠网络性能基准。