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METHOD AND DEVICE FOR EVALUATING LONGITUDINAL CONTROL MODEL OF END-TO-END AUTOMATIC DRIVING SYSTEM

机译:端到端自动驾驶系统纵向控制模型的评估方法和装置

摘要

A method and a device for evaluating a longitudinal control model of an end-to-end automatic driving system, the method comprising: determining a reference standard speed sequence according to a speed sequence extracted from a pre-determined navigation system (S110); reading a pre-estimated speed sequence of the longitudinal control model (S120); and evaluating, according to a mean square error between the reference standard speed sequence and the pre-estimated speed sequence, the longitudinal control model of the end-to-end automatic driving system (S130). The invention determines the mean square error according to the reference standard speed sequence obtained from the pre-determined navigation system through calculation and the pre-estimated speed sequence read from the longitudinal control model, and evaluates the longitudinal control model according to the mean square error, thereby being able to objectively and authentically evaluate the effect of the longitudinal model, improving the learning efficiency of deep learning in the field of automatic driving.
机译:一种用于评估端到端自动驾驶系统的纵向控制模型的方法和装置,该方法包括:根据从预定导航系统提取的速度序列确定参考标准速度序列(S110);读取纵向控制模型的估计速度序列(S120);根据参考标准速度序列与预定速度序列之间的均方误差,评估端到端自动驾驶系统的纵向控制模型(S130)。本发明根据预先确定的导航系统通过计算得到的参考标准速度序列和从纵向控制模型中读取的估算速度序列,确定均方根误差,并根据均方误差对纵向控制模型进行评价。从而能够客观,真实地评估纵向模型的效果,提高自动驾驶领域深度学习的学习效率。

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