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Method for predictively assessing a current driving situation and rating module

机译:预测评估当前驾驶情况的方法和评级模块

摘要

The invention relates to a method for predictively assessing a current driving situation of a vehicle (100), in particular a commercial vehicle (100), comprising at least the following steps: - Determining currently available driving situation information (FI), wherein the driving situation information (FI) the characterize the current driving situation of the vehicle (100), - predetermine the driving situation information (FI) to a neuronal algorithm (NA), wherein the neuronal algorithm (NA) in the form of a trained neural network corresponds to the currently available driving situation information (FI) assigns a driving situation category (Fki), wherein the respective driving situation category (Fki) based on a predicted driving situation (GZi), the neuronal algorithm (NA) depending on the current driving situation, the predicted driving situation (GZi) determined and predicted Driving situation (GZi) a driving which develops from the current driving situation in the future ituation of the vehicle (100) indicates; and outputting an output value (O) characterizing the driving situation category (Fki) as the evaluation result.
机译:本发明涉及一种用于预测性地评估车辆(100),特别是商用车辆(100)的当前驾驶状况的方法,该方法至少包括以下步骤:-确定当前可用的驾驶状况信息(FI),其中,驾驶状况信息(FI)表征车辆(100)的当前行驶状况,-将行驶状况信息(FI)预先确定为神经元算法(NA),其中,神经元算法(NA)形式为经过训练的神经网络对应于当前可用的驾驶情况信息(FI)分配驾驶情况类别(Fki),其中基于预测的驾驶情况(GZi)的各个驾驶情况类别(Fki),基于当前驾驶的神经元算法(NA)情况,预测驾驶情况(GZi)确定并预测驾驶情况(GZi),该驾驶是在将来的迭代中从当前驾驶情况发展而来的车辆(100)的指示;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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