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TRAINING A NEURAL NETWORK OF A VEHICLE

机译:培训车辆的神经网络

摘要

The revelation provides training of a neural network of a vehicle. A computer contains a processor and a memory that contains instructions, carried out by the processor to produce two or more stereo pairs of synthetic images and to produce two or more stereo pairs of real images based on two or more stereo pairs of synthetic images using a Generative Adversarial Network (GAN),where the GAN is trained using a six-axis degree of freedom (DoF) pose determined on the basis of two or more pairs of real images. The instructions may also include instructions to train a deep neural network based on a sequence of real images and vehicle operation using the deep neural network to process a sequence of video images captured by a vehicle sensor.
机译:该启示提供了车辆神经网络的培训。计算机包含处理器和包含指令的存储器,由处理器执行的指令,以产生两个或更多个立体声对的合成图像,并基于使用a的两个或更多个立体声对基于两个或更多个立体对的合成图像产生两个或更多个立体声对的真实图像生成的对抗网络(GaN),其中使用六轴自由度(DOF)姿势训练GaN的训练,基于两对或多对真实图像确定。指令还可以包括基于使用深神经网络的真实图像和车辆操作序列来训练深神经网络的指令,以处理由车辆传感器捕获的视频图像序列。

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