The invention relates to vehicle neural network training. A computer, includes a processor and a memory. The memory includes instructions to be executed by the processor to generate two or more stereo pairs of synthetic images and generate two or more stereo pairs of real images based on the two or more stereo pairs of synthetic images using a generative adversarial network (GAN), wherein the GAN is trained using a six-axis degree of freedom (DoF) pose determined based on the two or more pairs of real images. The instructions can further include instructions to train a deep neural network based on a sequence of real images and operate a vehicle using the deep neural network to process a sequence of video images acquired by a vehicle sensor.
本公开提供了“车辆神经网络训练”。一种计算机,其包括处理器和存储器,所述存储器包括指令,所述指令由所述处理器执行以:生成两个或更多个立体对的合成图像,并且使用生成式对抗网络(GAN)基于所述两个或更多个立体对的合成图像生成两个或更多个立体对的真实图像,其中使用基于所述两对或更多对真实图像确定的六轴自由度(DoF)姿态来训练所述GAN。所述指令还可以包括以下指令:基于真实图像序列训练深度神经网络并且使用所述深度神经网络操作车辆以处理由车辆传感器获取的视频图像序列。
VEHICLE NEURAL NETWORK TRAINING
车辆神经网络训练
2021-04-09
Patent
Electronic Resource
Chinese
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL |
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