The invention provides a training method of an automatic driving decision model and a vehicle control method and device, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning, reinforcement learning, automatic driving and intelligent traffic. According to the specific implementation scheme, first vehicle state information and first environment information of vehicles in a first traffic scene are acquired; processing the first vehicle state information and the first environment information for multiple times by using an automatic driving decision model to obtain a plurality of first control strategies for the vehicle in the first traffic scene; wherein the automatic driving decision model is obtained by training according to second vehicle state information and second environment information of the vehicle in the second traffic scene; training the initial evaluation model according to the plurality of first control strategies to obtain a target evaluation model; and training the automatic driving decision model according to the target evaluation model.
本公开提供了一种自动驾驶决策模型的训练方法、车辆控制方法和装置,涉及人工智能技术领域,尤其涉及深度学习、强化学习、自动驾驶、智能交通技术领域。具体实现方案为:获取第一交通场景中车辆的第一车辆状态信息和第一环境信息;使用自动驾驶决策模型对第一车辆状态信息和第一环境信息进行多次处理,得到第一交通场景下针对车辆的多个第一控制策略;其中,自动驾驶决策模型是根据第二交通场景中车辆的第二车辆状态信息和第二环境信息训练得到的;根据多个第一控制策略训练初始评价模型,得到目标评价模型;以及根据目标评价模型对自动驾驶决策模型进行训练。
Training method of automatic driving decision model and vehicle control method and device
自动驾驶决策模型的训练方法、车辆控制方法和装置
2023-06-23
Patent
Electronic Resource
Chinese
IPC: | 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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