The present disclosure provides "adaptive sensor fusion". A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine performance ofa plurality of vehicle data sources used to operate a vehicle by evaluating each vehicle data source output data and train a deep neural network to determine reliability for each of the vehicle data sources based on the performance using reinforcement learning. The instructions can further include instructions to combine output data from the vehicle data sources based on the reliability includingusing the deep neural network to correlate output data from one or more vehicle data sources to the performance to determine how accurately the output data from each vehicle data source corresponds tovehicle performance and operate the vehicle based on combined output data.
本公开提供了“自适应传感器融合”。一种计算机,包括处理器和存储器,所述存储器包括指令,所述指令将由所述处理器执行以:通过评估每个车辆数据源输出数据来确定用于操作车辆的多个车辆数据源的性能;以及基于所述性能使用强化学习来训练深度神经网络以确定所述车辆数据源中的每个的可靠性。所述指令还可以包括以下指令:基于可靠性组合来自车辆数据源的输出数据,包括使用深度神经网络将来自一个或多个车辆数据源的输出数据与性能相关联以确定来自每个车辆数据源的输出数据与车辆性能对应的准确度;以及基于组合的输出数据操作车辆。
ADAPTIVE SENSOR FUSION
自适应传感器融合
2021-03-30
Patent
Electronic Resource
Chinese
IPC: | B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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