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    CONSTRAINED RANDOM DECISION FOREST FOR OBJECT DETECTION
    4.
    发明申请
    CONSTRAINED RANDOM DECISION FOREST FOR OBJECT DETECTION 审中-公开

    公开(公告)号：US20190266429A1

    公开(公告)日：2019-08-29

    申请号：US15903981

    申请日：2018-02-23

    Applicant: QUALCOMM Incorporated

    Inventor： Sujith Srinivasan ,  Rakesh Nattoji Rajaram ,  Gokce Dane ,  Vasudev Bhaskaran

    IPC: G06K9/32 ,  G06K9/62 ,  G06K9/46

    Abstract: A classifier for detecting objects in images can be configured to receive features of an image from a feature extractor. The classifier can determine a feature window based on the received features, and allows access by each decision tree of the classifier to only a predetermined area of the feature window. Each decision tree of the classifier can compare a corresponding predetermined area of the feature window with one or more thresholds. The classifier can determine an object in the image based on the comparisons. In some examples, the classifier can determine objects in a feature window based on received features, where the received features are based on color information for an image.

    SYSTEMS AND METHODS FOR NON-OBSTACLE AREA DETECTION
    6.
    发明申请
    SYSTEMS AND METHODS FOR NON-OBSTACLE AREA DETECTION 有权

    公开(公告)号：US20180012367A1

    公开(公告)日：2018-01-11

    申请号：US15685390

    申请日：2017-08-24

    Applicant: QUALCOMM Incorporated

    Inventor： Gokce Dane ,  Vasudev Bhaskaran

    IPC: G06T7/20 ,  G06K9/00 ,  G06K9/62

    CPC classification number: G06T7/20 ,  G06K9/00791 ,  G06K9/00798 ,  G06K9/6292 ,  G06T7/11 ,  G06T7/50 ,  G06T7/507 ,  G06T2207/10028 ,  G06T2207/30256

    Abstract: A method performed by an electronic device is described. The method includes generating a depth map of a scene external to a vehicle. The method also includes performing first processing in a first direction of a depth map to determine a first non-obstacle estimation of the scene. The method also includes performing second processing in a second direction of the depth map to determine a second non-obstacle estimation of the scene. The method further includes combining the first non-obstacle estimation and the second non-obstacle estimation to determine a non-obstacle map of the scene. The combining includes combining comprises selectively using a first reliability map of the first processing and/or a second reliability map of the second processing The method additionally includes navigating the vehicle using the non-obstacle map.

    Systems and methods for determining feature point motion
    9.
    发明授权
    Systems and methods for determining feature point motion 有权

    公开(公告)号：US10284875B2

    公开(公告)日：2019-05-07

    申请号：US15231370

    申请日：2016-08-08

    Applicant: QUALCOMM Incorporated

    Inventor： Sujith Srinivasan ,  Gokce Dane

    IPC: H04N19/56 ,  H04N19/43 ,  H04N19/533 ,  H04N19/54 ,  G06T7/246

    Abstract: A method performed by an electronic device is described. The method includes obtaining a motion vector map based on at least two images. The motion vector map has fewer motion vectors than a number of pixels in each of the at least two images. The method also includes obtaining a feature point from one of the at least two images. The method further includes performing a matching operation between a template associated with the feature point and at least one search space based on the motion vector map. The method additionally includes determining a motion vector corresponding to the feature point based on the matching operation.

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