STIXEL ESTIMATION AND ROAD SCENE SEGMENTATION USING DEEP LEARNING
    1.
    发明申请
    STIXEL ESTIMATION AND ROAD SCENE SEGMENTATION USING DEEP LEARNING 审中-公开
    使用深度学习的STIXEL估计和道路分段

    公开(公告)号:US20160217335A1

    公开(公告)日:2016-07-28

    申请号:US15092853

    申请日:2016-04-07

    Abstract: Methods and systems are provided for detecting an object in an image. In one embodiment, a method includes: receiving, by a processor, data from a single sensor, the data representing an image; dividing, by the processor, the image into vertical sub-images; processing, by the processor, the vertical sub-images based on deep learning models; and detecting, by the processor, an object based on the processing.

    Abstract translation: 提供了用于检测图像中的对象的方法和系统。 在一个实施例中,一种方法包括:由处理器接收来自单个传感器的数据,表示图像的数据; 由处理器将图像划分成垂直子图像; 由处理器处理基于深度学习模型的垂直子图像; 以及由所述处理器基于所述处理检测对象。

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