METHOD AND SYSTEM FOR MONITORING THE ROAD CONDITION BY MEANS OF A MACHINE LEARNING SYSTEM, AND METHOD FOR TRAINING THE MACHINE LEARNING SYSTEM
案件概要
出願人
Continental Autonomous Mobility Germany GmbH
発明者
Sighard Schräbler; Niels Christmann; Pia Dreiseitel; Erwin Kraft; Bernd Hartmann; Florian Geis
IPC分類
CPC分類
The present disclosure relates to a method and system for monitoring the road condition by a machine learning system and to a method for training the machine learning system. The methods include: providing or acquiring data by a sensor system of a vehicle, wherein the sensor system captures the surroundings of the vehicle () as training input data X; providing or acquiring data which characterize the road condition by means of a reference sensor fitted in or on the vehicle as training target values, and training the machine learning system. Training data, which include training input data X and training target values corresponding to these training input data X, are provided. The training data are used to adjust parameters of the machine learning system in such a manner that the machine learning system generates output data similar to the training target values when the training input data are input.
原文(中国語)
The present disclosure relates to a method and system for monitoring the road condition by a machine learning system and to a method for training the machine learning system. The methods include: providing or acquiring data by a sensor system of a vehicle, wherein the sensor system captures the surroundings of the vehicle () as training input data X; providing or acquiring data which characterize the road condition by means of a reference sensor fitted in or on the vehicle as training target values, and training the machine learning system. Training data, which include training input data X and training target values corresponding to these training input data X, are provided. The training data are used to adjust parameters of the machine learning system in such a manner that the machine learning system generates output data similar to the training target values when the training input data are input.
外部リソース