首页> 外国专利> HYBRID MOTOR VEHICLE SENSOR DEVICE WITH A NEURONAL NETWORK AND A BAYESIAN FILTER AND METHOD FOR OPERATING SUCH A MOTOR VEHICLE SENSOR DEVICE

HYBRID MOTOR VEHICLE SENSOR DEVICE WITH A NEURONAL NETWORK AND A BAYESIAN FILTER AND METHOD FOR OPERATING SUCH A MOTOR VEHICLE SENSOR DEVICE

机译:具有神经网络和贝叶斯滤波器的混合动力汽车传感器装置以及用于操作这种汽车传感器装置的方法

摘要

The invention relates to a method for operating a sensor device (2) of a motor vehicle (1), having a) providing measurement information by a sensor unit (5) of the sensor device (2); b) classifying the provided measurement information by a neural network (6) of the sensor device (2); and c) filtering a result of classifying by means of a Bayesian filter (7) of the sensor device (2), so that the result depends on a state information given by the state information of the motor vehicle as a function of a state information given to the Bayesian filter (7) (1) or an object (4) in the environment (3) of the motor vehicle (1) is adapted to overcome the weaknesses of known sensor devices and to improve the processing of measurement information.
机译:本发明涉及一种用于操作机动车辆(1)的传感器装置(2)的方法,其具有:a)通过传感器装置(2)的传感器单元(5)提供测量信息; b)通过传感器装置(2)的神经网络(6)对所提供的测量信息进行分类; c)借助于传感器装置(2)的贝叶斯滤波器(7)对分类结果进行滤波,使得该结果依赖于由机动车的状态信息给出的状态信息作为状态信息的函数被提供给汽车(1)的环境(3)中的贝叶斯滤波器(7)(1)或物体(4)的传感器适于克服已知传感器装置的弱点并改善测量信息的处理。

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