The disclosure provides vehicle path prediction. A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to input second vehicle sensor data received via or more of vehicle-to-vehicle (V-to-V) and vehicle-to-infrastructure (V-to-I) networking into a generative query neural network (GQN) trained to generate second vehicle viewpoint data and predict a path for a second vehicle based on the second vehicle viewpoint data with a reinforcement learning deep neural network (RLDNN). The computer can be further programmed to obtain a confidence for the predicted second vehicle path from a Bayesian framework applied to the RLDNN and determine a first vehicle path based on the predicted second vehicle path and the confidence.
本公开提供了“车辆路径预测”。一种系统,包括计算机,所述计算机包括处理器以及存储器,所述存储器存储有指令,所述指令可由所述处理器执行以将经由车辆对车辆(V2V)和车辆对基础设施(V2I)网络中的一个或多个接收的第二车辆传感器数据输入到被训练为生成第二车辆视角数据的生成查询神经网络(GQN)中,并且利用强化学习深度神经网络(RLDNN)基于所述第二车辆视角数据预测第二车辆的路径。所述计算机还可以被编程为从应用于所述RLDNN的贝叶斯框架获得所述预测的第二车辆路径的置信度,并且基于所述预测的第二车辆路径和所述置信度确定第一车辆路径。
Vehicle path prediction
车辆路径预测
2020-10-27
Patent
Electronic Resource
Chinese
European Patent Office | 2024
|European Patent Office | 2024
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