To improve the test efficiency of the Autonomous Emergency Braking(AEB) system and reduce the test cost, this paper develops a rapid-testing platform for autonomous vehicles based on vehicle-in-the-loop. Firstly, the adhesion coefficient of different roads can be realized through the combination of the free roller, torque controller and body simulation flywheel, meanwhile, the road gradient is simulated by the elevation difference of the front and rear axle lifting devices. Furthermore, the AEB test scenario is constructed based on the virtual reality, the distance between vehicle under test and the obstacle ahead can be obtained in real-time through the virtual MMW Radar sensor in the scene. At the same time, the motion control of the platform and the data interaction between the platform and virtual scene are achieved using CAN message transmission. Based on the above software and hardware development, the function and performance test of the automobile AEB system was conducted on the developed test platform based on the condition of Euro-NCAP’s Car to Car Rear stationary(CCRS). According to the maximum possible deceleration for the real road condition, TTC model parameters are used to describe the minimum braking distance for AEB activation control. To verify this platform works, this paper also carried out the road comparison experiment under the same condition. The experiment shows that the AEB test platform developed in this paper can simulate the vehicle operating conditions on the real road and the test results are nearly the same as the real road test results, with the main parameter error less than 5% and the detection time reduced by nearly 2/3.

CICTP