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.