DEGRADED IMAGE FRAME CORRECTION
    1.
    发明申请

    公开(公告)号:US20240420293A1

    公开(公告)日:2024-12-19

    申请号:US18336580

    申请日:2023-06-16

    Abstract: A method of processing image data includes receiving, with a frame correction machine-learning (ML) model executing on processing circuitry, an image frame captured from a first camera of a plurality of cameras; performing, with the frame correction ML model executing on the processing circuitry, image frame correction to generate a corrected image frame based on weights or biases of the frame correction ML model applied to two or more of: samples of the image frame, samples of previously captured image frames from the first camera, or samples from image frames from other cameras of the plurality of cameras; and performing, with the processing circuitry, post-processing based on the corrected image frame.

    OCCLUDED OBJECT DETECTION AND CORRECTION FOR VEHICLE APPLICATIONS

    公开(公告)号:US20240371168A1

    公开(公告)日:2024-11-07

    申请号:US18311784

    申请日:2023-05-03

    Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method is provided that includes generating a top view image of an object using a plurality of images captured from different views. The method involves determining portions of the images that depict the object and generating novel views of the object from at least one novel view not present within the plurality of images. Corresponding portions containing an occluded view and an unobstructed view of the object are identified and corrected views for occluded views are determined based on corresponding unobstructed views using a machine learning model. A top view image may be then generated based on the corrected views. The invention enables improved visibility for autonomous driving systems in situations where objects are occluded or partially obstructed. Other aspects and features are also claimed and described.

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