首页> 外国专利> Advanced driver-assistance system with landmark localization on objects in images using convolutional neural networks

Advanced driver-assistance system with landmark localization on objects in images using convolutional neural networks

机译:使用卷积神经网络对图像中的对象进行地标定位的高级驾驶员辅助系统

摘要

A system and method are provided for driving assistance. The system includes an image capture device configured to capture an actual image relative to an outward view from a motor vehicle and depicting an object. The system further includes a processor configured to render, based on a set of 3D CAD models, synthetic images with corresponding intermediate shape concept labels. The processor is further configured to form a multi-layer CNN which jointly models multiple intermediate shape concepts, based on the rendered synthetic images. The processor is also configured to perform an intra-class appearance variation-aware and occlusion-aware 3D object parsing on the actual image by applying the CNN to the actual image to output an image pair including a 2D and 3D geometric structure of the object. The processor is additionally configured to perform an action to mitigate a likelihood of harm involving the motor vehicle, based on the image pair.
机译:提供了一种用于驾驶辅助的系统和方法。该系统包括图像捕获设备,该图像捕获设备被配置为相对于从机动车辆的外视图捕获实际图像并描绘物体。该系统还包括处理器,该处理器被配置为基于一组3D CAD模型渲染具有相应中间形状概念标签的合成图像。处理器还被配置为形成多层CNN,该多层CNN基于渲染的合成图像共同对多个中间形状概念进行建模。处理器还被配置为通过将CNN应用于实际图像以输出包括对象的2D和3D几何结构的图像对,来对实际图像执行类内外观变化感知和遮挡感知3D对象解析。所述处理器还被配置为基于所述图像对来执行动作以减轻涉及机动车辆的伤害的可能性。

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