The invention relates to a computer-implemented method for generating synthetic training data for training a data-driven ultrasound sensor model (43) for a given configuration of an ultrasound sensor system (2) having a plurality of ultrasound sensor devices (21), wherein the training data comprises input data representing time series data of the received ultrasound signals and output data indicative of object characteristics of environmental objects within a sensing range of the ultrasound sensor system (2); the method comprises the steps of:-providing (S2) real training data obtained by measuring the given configuration of the ultrasonic sensor system (2); training (S4) a generator model by means of a training model using the real training data; -generating the synthetic training data using (S9) the generator model (51) by applying a random noise vector (z) as input.
本发明涉及一种用于生成合成训练数据的计算机实现的方法,所述合成训练数据用于针对具有多个超声传感器设备(21)的超声传感器系统(2)的给定配置来训练数据驱动的超声传感器模型(43),其中所述训练数据包括表示接收到的超声信号的时间序列数据的输入数据以及指示所述超声传感器系统(2)的感测范围内的环境对象的对象特性的输出数据;所述方法包括以下步骤:‑提供(S2)通过测量所述超声传感器系统(2)的所述给定配置而获得的真实训练数据;‑使用所述真实训练数据借助于训练模型来训练(S4)生成器模型;‑通过应用随机噪声向量(z)作为输入,使用(S9)所述生成器模型(51)来生成所述合成训练数据。
Method and apparatus for generating synthetic training data for ultrasound sensor model
用于生成用于超声传感器模型的合成训练数据的方法和设备
2024-04-16
Patent
Electronic Resource
Chinese
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