Embodiments of the present invention relate to a method, apparatus and computer program for training a machine learning model and for generating training data for such training, in particular to training of a machine learning model to determine a position of a key device relative to a vehicle. The method for training a machine learning model includes training a machine learning model based on data representative of at least two different vehicle environments. The machine learning model is trained to determine a position of the key device relative to the vehicle based on data of transit time distance measurements of a distance between the key device and the vehicle.
本发明的实施例涉及一种用于训练机器学习模型和用于生成用于这种训练的训练数据的方法、装置和计算机程序,尤其是涉及机器学习模型的训练以确定钥匙设备相对于车辆的位置。所述用于训练机器学习模型的方法包括:基于代表至少两种不同车辆环境的数据来训练机器学习模型。所述机器学习模型被训练为基于在钥匙设备和车辆之间的距离的渡越时间距离测量的数据来确定钥匙设备相对于车辆的位置。
Method, apparatus and computer program for training machine learning model and generating training data
用于训练机器学习模型并生成训练数据的方法、装置和计算机程序
2022-11-25
Patent
Electronic Resource
Chinese
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR |
A computer-implemented method of generating training data for training a machine learning model
European Patent Office | 2022
European Patent Office | 2022
|European Patent Office | 2021
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