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NEURAL NETWORK FOR LOCALIZATION AND OBJECT DETECTION

机译:神经网络本地化和对象检测

摘要

The present disclosure discloses a system and a method. In an example implementation, the system and the method generate, at a first encoder neural network, an encoded representation of image features of an image received from a vehicle sensor of a vehicle. The system and method can also generate, at a second encoder neural network, an encoded representation of a map tile features and generate, at the decoder neural network, a semantically segmented map tile based on the encoded representation of image features, the encoded representation of map tile features, and Global Positioning System (GPS) coordinates of the vehicle. The semantically segmented map tile includes a location of the vehicle and detected objects depicted within the image with respect to the vehicle.
机译:本公开公开了一种系统和方法。 在示例实现中,系统和方法在第一编码器神经网络处生成从车辆的车辆传感器接收的图像的图像特征的编码表示。 系统和方法还可以在第二编码器神经网络中生成地图瓦片特征的编码表示并在解码器神经网络中生成语义分段的地图图块,基于图像特征的编码表示,编码表示 地图瓷砖功能,以及车辆的全球定位系统(GPS)坐标。 语义分段的地图瓦片包括车辆的位置和相对于车辆在图像内描绘的检测物体。

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