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Vehicle Sideslip Angle Estimation Method and Apparatus Using an Integrated Deep Ensemble-Kalman Filter

机译:集成深度集成卡尔曼滤波的车辆侧滑角估计方法及装置

摘要

A method and apparatus for estimating a vehicle side slip angle in a method in which a deep ensemble and a Kalman filter are integrated are presented. According to an embodiment, an apparatus for estimating a side slip angle of a vehicle includes: a sensor information acquisition unit that acquires sensor information from a vehicle; A deep ensemble-based artificial neural network that receives the sensor information obtained from the sensor information acquisition unit and estimates a predicted value; And a model-based observer that considers the predicted value estimated by the deep ensemble-based artificial neural network as sensor information obtained from a virtual sensor, receives the predicted value and estimates a sideslip angle value. I can.
机译:提出了一种方法和装置,在该方法和装置中,集成了深度集成和卡尔曼滤波器的方法用于估计车辆侧滑角。根据实施例,一种用于估计车辆的侧滑角的设备包括:传感器信息获取单元,其从车辆获取传感器信息;以及传感器信息获取单元。基于深度集成的人工神经网络,接收从传感器信息获取单元获得的传感器信息并估计预测值;并且,基于模型的观察者将通过基于深度集成的人工神经网络估计的预测值视为从虚拟传感器获得的传感器信息,接收该预测值并估计侧滑角值。我可以。

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