The invention provides a training method of an automatic driving algorithm model, and an automatic driving method and device. Acquiring real data formed by driving the automobile by the user, and generating a training sample based on the real data; a network structure of the automatic driving algorithm model is designed based on the SAC algorithm, defining of a state space of the automatic driving algorithm model comprises the following input parameter: Se = {delta x, delta y, delta v, delta vlp, delta xlp, delta ylp, delta vrp, delta xrp, delta yrp, delta vlf, delta xlf, delta ylf, delta vrf, delta xrf and delta yrf}, and the network structure of the automatic driving algorithm model is designed according to the defined state space of the automatic driving algorithm model; and inputting the training sample into the automatic driving algorithm model to train the automatic driving algorithm model. According to the method, the automatic driving algorithm model which is more suitable for the automatic driving process can be obtained and used, so that automatic driving is more effectively carried out.
本发明提供了一种自动驾驶算法模型的训练方法、自动驾驶方法及装置。获取由用户驾驶汽车所形成的真实数据,并基于该真实数据生成训练样本;基于SAC算法设计自动驾驶算法模型的网络结构,其中定义自动驾驶算法模型的状态空间包括如下入参:Se={Δx,Δy,Δv,Δvlp,Δxlp,Δylp,Δvrp,Δxrp,Δyrp,Δvlf,Δxlf,Δylf,Δvrf,Δxrf,Δyrf},根据所定义的自动驾驶算法模型的状态空间设计自动驾驶算法模型的网络结构;将所述训练样本输入所述自动驾驶算法模型以对该自动驾驶算法模型进行训练。本发明能够得到并使用更加适用于自动驾驶过程的自动驾驶算法模型,从而更有效地进行自动驾驶。
Training method of automatic driving algorithm model, automatic driving method and device
自动驾驶算法模型的训练方法、自动驾驶方法及装置
2024-10-29
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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