The invention discloses a multi-agent autonomous decision-making system based on reinforcement learning, and the system comprises an image collection module, an image processing and analysis module, a calculation module, a first intelligent judgment module, a second intelligent judgment module, a trolley information collection module, and a storage module. The calculation module can calculate the road condition in front of the running of the trolley so as to ensure that the trolley can pass normally and safely, and when the trolley encounters an obstacle, the calculation module can calculate the speed and steering information of the trolley passing through the obstacle so as to avoid the influence of the obstacle on the running of the trolley. And by using the first intelligent judgment module and the second intelligent judgment module, when the trolley encounters the obstacle next time and before the calculation module, whether the obstacle can influence the operation of the trolley or not can be judged, so that the time consumed by the calculation module for re-calculation is saved, and the judgment process is greatly accelerated.
本申请公开了一种基于强化学习的多智能体自主决策系统,包括图像采集模块、图像处理分析模块、计算模块、第一智能判断模块、第二智能判断模块、小车信息采集模块以及储存模块,在本系统实施的时候,计算模块能够对小车运行前方的路面情况进行计算,以保证小车能够正常安全的通行,当遇到障碍物时,计算模块能够对小车通过障碍物的速度、转向信息进行计算,进而避免障碍物对小车的运行造成影响。而第一智能判断模块与第二智能判断模块的使用,能够在小车下次再遇到障碍物时,在计算模块之前,判断障碍物是否会对小车的运行产生影响,从而节省了计算模块重新进行计算所耗费的时间,大大加快了判断的过程。
Multi-agent autonomous decision-making system based on reinforcement learning
一种基于强化学习的多智能体自主决策系统
2025-05-16
Patent
Electronic Resource
Chinese
IPC: | G06V / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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 / B62D MOTOR VEHICLES , Motorfahrzeuge |
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