自动驾驶算法的异常事件生成系统设计与评估

Evaluating the response of autonomous driving algorithms to abnormal traffic events acts an important application value. However, generating abnormal traffic events in the real world is costly and risky. In this paper, a method was proposed to generate abnormal traffic events for the evaluation of autopilot algorithms. The method was arranged to automatically generate five kinds of abnormal traffic events. And a Driving Strategy Evaluation System was established to realize the evaluation of the autopilot algorithm. An imitation learning autopilot algorithm based on a deep network was evaluated by the proposed system in order to verify the validity of the generated abnormal traffic events. The experimental results show that the generated abnormal traffic events can more comprehensively evaluate the performance of the autonomous driving algorithm.