为应对高级驾驶辅助系统（Advanced Driver Assistance Systems，ADAS）在复杂道路工程场景中适配性不足的问题，文章构建了一套涵盖方案规划、硬件构建、试验验证的完整测试技术框架。从道路工程核心要素与 ADAS 感知交互机理的角度切入，明晰测试目的与标准，搭建多传感器融合测试硬件框架，通过实车试验量化不同道路工程条件中 ADAS 功能性能差别。试验数据显示，该测试技术可精确辨认道路标线清晰度、路面附着系数等关键工程参量对 ADAS 功能的作用规律，为道路工程设计改进与 ADAS 系统标定提供数据支撑，提升智能车辆行驶安全性与环境适应能力。

To address the issue of the insufficient adaptability of Advanced Driver Assistance Systems (ADAS) in complex road engineering scenarios, this article conceives a complete testing technology framework that encompasses scheme planning, hardware construction, and experimental verification. From the perspective of the core elements of road engineering and the interaction mechanism of ADAS perception, the testing purpose and standards are clarified, a multisensor fusion testing hardware framework is established, and through real vehicle experiments, the differences in ADAS functional performance under different road engineering conditions are quantified. Experimental data demonstrate that this testing technology can accurately identify the effects of key engineering parameters such as the clarity of road markings and the coefficient of adhesion on the ADAS function, providing data support for the improvement of road engineering design and the calibration of ADAS, thereby enhancing the safety and environmental adaptability of intelligent vehicles.