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METHOD FOR PREDICTIVE ASSESSMENT OF A CURRENT DRIVING SITUATION AND ASSESSMENT MODULE

机译:当前驾驶状况和评估模块的预测评估方法

摘要

The invention relates to a method for predictive assessment of a current driving situation of a vehicle (100), in particular a commercial vehicle (100), comprising at least the following steps: determining currently present driving situation information (FI), wherein the driving situation information (FI) characterises the current driving situation of the vehicle (100), predefining the drive situation information (FI) to a neural algorithm (NA), wherein the neural algorithm (NA) assigns the currently present driving situation information (FI) to a driving situation category (Fki) in the manner of a trained neural network, wherein the respective driving situation category (Fki) is based on a forecast driving situation (GZi), wherein the neural algorithm (NA) determines the forecast driving situation (GZi) on the basis of the current driving situation, and the forecast driving situation (GZi) indicates a driving situation of the vehicle (100) developing in the future from the current driving situation; and outputting an output value (O) characterising the driving situation category (Fki) as an assessment result.
机译:本发明涉及一种用于对车辆(100),特别是商用车辆(100)的当前驾驶状况进行预测评估的方法,该方法至少包括以下步骤:确定当前存在的驾驶状况信息(FI),其中,驾驶状况信息(FI)表征车辆(100)的当前驾驶状况,将驾驶状况信息(FI)预定义为神经算法(NA),其中神经算法(NA)分配当前存在的驾驶状况信息(FI)以训练的神经网络的方式将驾驶状况分类为驾驶状况类别(Fki),其中各个驾驶状况类别(Fki)基于预测驾驶状况(GZi),其中神经算法(NA)确定预测驾驶状况( (GZi)表示当前行驶状况,并且预测行驶状况(GZi)表示从当前行驶状态出发未来发展的车辆(100)的行驶状况生活状况;输出表征驾驶状况类别(Fki)的输出值(O)作为评估结果。

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