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    METHODS AND APPARATUS TO DETECT TOUCH INPUT GESTURES
    1.
    发明申请
    METHODS AND APPARATUS TO DETECT TOUCH INPUT GESTURES 审中-公开

    公开(公告)号：US20190101996A1

    公开(公告)日：2019-04-04

    申请号：US16136244

    申请日：2018-09-19

    Applicant: Intel Corporation

    Inventor： Sean Lawrence

    IPC: G06F3/0354 ,  G06F3/01 ,  G06F3/041

    Abstract: Methods and apparatus to detect touch input gestures are disclosed. An example apparatus includes a touch sensitive display, a touch sensor to detect touches and hovers associated with the touch sensitive display, and a gesture handler including: an identifier to identify fingers associated with the touches and hovers, and a gesture detector to determine a gesture associated with the touches and hovers and determine an action associated with the gesture and the identified fingers.

    Data embedding in run length encoded streams
    2.
    发明授权
    Data embedding in run length encoded streams 有权

    公开(公告)号：US09946723B2

    公开(公告)日：2018-04-17

    申请号：US14293620

    申请日：2014-06-02

    Applicant: INTEL CORPORATION

    Inventor： Sean Lawrence

    IPC: G06K9/38 ,  G06F17/30

    CPC classification number: G06F17/30153 ,  G06F17/30156

    Abstract: One or more system, apparatus, method, and computer readable media for embedding supplemental data into a compressed data stream to form a supplemented compressed data stream. In embodiments, supplemental data is embedded at a run-length encoded (RLE) compression stage. In embodiments, supplemental data is extracted from a supplemented RLE stream to recover supplemental data and/or reconstruct the compressed data stream from which the supplemental data is extracted.

    ENTITY ALLOCATION FOR NAVIGATED ROUTES
    3.
    发明公开
    ENTITY ALLOCATION FOR NAVIGATED ROUTES 审中-公开

    公开(公告)号：US20240210185A1

    公开(公告)日：2024-06-27

    申请号：US18338418

    申请日：2023-06-21

    Applicant: Intel Corporation

    Inventor： Raghavendra Bhat ,  Pravin Chander Chandran ,  Sean Lawrence

    IPC: G01C21/34 ,  G01C21/36

    CPC classification number: G01C21/3461 ,  G01C21/3492 ,  G01C21/3691

    Abstract: Techniques are provided to calculate a “complexity score” (CS) and qualifying allocation score, which aims to address the gap between a performance score, which may represent a driver score of other suitable entity-based performance score. The CS may be calculated based upon the particular agent (e.g. a vehicle, an autonomous mobile robot (AMR), etc.), such as via the use of vehicle-based alerts, other types of alerts, environment-based data, etc., which are collected for specific navigation segments. The CS is then combined with the performance score to provide a qualifying allocation score, which is a context-sensitive view of the performance score. This context-sensitive view of the performance score may then be utilized for a determination regarding how to allocate the most well-suited entity (a driver, vehicle, AMR, etc.) to a subsequent route that includes the navigation segments.

    METHODS AND APPARATUS TO IMPROVE DRIVER-ASSISTANCE VISION SYSTEMS USING OBJECT DETECTION BASED ON MOTION VECTORS
    5.
    发明申请
    METHODS AND APPARATUS TO IMPROVE DRIVER-ASSISTANCE VISION SYSTEMS USING OBJECT DETECTION BASED ON MOTION VECTORS 有权

    公开(公告)号：US20210110552A1

    公开(公告)日：2021-04-15

    申请号：US17129456

    申请日：2020-12-21

    Applicant: Intel Corporation

    Inventor： Raghavendra Shrinivasa Bhat ,  Sean Lawrence ,  Pravin Chandran

    IPC: G06T7/223 ,  G06K9/62 ,  H04N5/225 ,  G06T7/70 ,  G06T11/00 ,  G06K9/00 ,  G06N20/00

    Abstract: Methods and apparatus to improve driver-assistance vision systems using object detection based on motion vectors are disclosed. An example apparatus includes a motion vector object detection analyzer to generate a motion vector boundary box around an object represented in a first image, the motion vector boundary box generated based on a comparison of the first image relative to a second image. The example apparatus also includes a boundary box analyzer to: determine whether the motion vector boundary box corresponds to any artificial intelligence (AI)-based boundary box generated based on an analysis of the first image using an object detection machine learning model; and, in response to the motion vector boundary box not corresponding to any AI-based boundary box associated with the first image, associate a label with the motion vector boundary, the label to indicate the object detection machine learning model did not recognize the object in the first image.

    DRIVER FAULT INFLUENCE VECTOR CHARACTERIZATION
    7.
    发明申请
    DRIVER FAULT INFLUENCE VECTOR CHARACTERIZATION 有权

    公开(公告)号：US20220351527A1

    公开(公告)日：2022-11-03

    申请号：US17856163

    申请日：2022-07-01

    Applicant: Intel Corporation

    Inventor： Pravin Chander Chandran ,  Raghavendra Bhat ,  Sean Lawrence

    IPC: G06V20/58 ,  B60W40/10 ,  B60W40/09

    Abstract: An apparatus, including: an interface configured to receive raw images of one or more objects across a timeseries of frames corresponding to a movement event from a perspective of a vehicle of interest (Vol); and processing circuitry that is configured to: track a change in intensity or direction information represented in motion vectors (MVs) generated based on the raw images; generate, based on the change in the intensity or direction information, a weight of an influence vector representing a Vol influence on the movement event; and transmit the weight of the influence vector and an identity of the movement event to an assessment system that is configured to utilize the weight of the influence vector in an assessment of the Vol.

    CONCENTRATION BASED ADAPTIVE GRAPHICS QUALITY
    8.
    发明申请
    CONCENTRATION BASED ADAPTIVE GRAPHICS QUALITY 审中-公开

    公开(公告)号：US20190043154A1

    公开(公告)日：2019-02-07

    申请号：US15854572

    申请日：2017-12-26

    Applicant: Intel Corporation

    Inventor： Sean Lawrence

    IPC: G06T1/20 ,  G09G5/36 ,  G06F3/01

    Abstract: An embodiment of a semiconductor package apparatus may include technology to determine user-related concentration information, and adjust one or more parameters of a graphics subsystem based on the user-related concentration information. Other embodiments are disclosed and claimed.

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