关键词: 仿真测试；自动紧急制动（AEB）系统；拉丁超立方抽样；响应面；敏感性；可靠性

Abstract: Autonomous driving test scenarios are infinitely rich, extremely complex and inexhaustible, it is difficult for traditional testing methods to comprehensively evaluate the safety of autonomous driving system. Simulation test has the characteristics of high efficiency, low cost and safe test procedure, and has become an important means for autonomous driving test and verification, to test and quantify the reliability of the autonomous driving system, in theory, it is necessary to test all the scenarios, but it is not realistic to exhaust and test all scenarios. Based on the autonomous emergency braking (AEB) algorithm of a certain car, the simulation test system is built, and straight CCRm simulation scenarios are established. This paper takes the Car-to-Car Rear Moving test (CCRm)simulation scenario as example, the Kriging method is used to establish high-quality response surface between scenario variables and system output , and the sensitivity of the scenario variables is quantified through the variance method. Based on the speed distribution of an elevated highway in Hefei, combined with Latin hypercube sampling, the distribution of the minimum relative distance between two vehicles when the autonomous emergency braking system acts under the straight CCRm scenario and the failure probability of the autonomous emergency braking system are obtained. The research results can provide strong support for the evaluation of the autonomous emergency braking system.

Key words: Simulation test; Autonomous Emergency Braking System; Latin hypercube sampling; Response surface; Sensitivity; Reliability