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    Range estimation for light detecting and ranging (LIDAR) systems
    32.
    发明授权
    Range estimation for light detecting and ranging (LIDAR) systems 有权

    公开(公告)号：US11422263B2

    公开(公告)日：2022-08-23

    申请号：US17133291

    申请日：2020-12-23

    Applicant: Intel Corporation

    Inventor： Michael Bronstein ,  Ron Kimmel ,  Alex Bronstein ,  Ohad Menashe ,  Erez Sperling ,  Aviad Zabatani ,  Vitaly Surazhsky

    IPC: G06F11/30 ,  G01S17/89 ,  G01S17/10 ,  G01S7/4861 ,  G01S7/487

    Abstract: Example range estimation apparatus disclosed herein include a first signal processor to estimate a signal power parameter and a noise power parameter of a LIDAR system based on first data to be output from a light capturing device of the LIDAR system. Disclosed example range estimation apparatus also include a second signal processor to generate templates corresponding to different possible propagation delays associated with second data to be output from the light capturing device, the second data associated with a modulated light beam projected by the LIDAR system, the templates generated based on the signal power parameter and the noise power parameter, and the second data to have a higher sampling rate and a lower quantization resolution than the first data. In some examples, the second signal processor is also to determine, based on the templates, an estimated propagation delay associated with the second data.

    Dynamic depth camera system calibration using mobile dispay device
    33.
    发明授权
    Dynamic depth camera system calibration using mobile dispay device 有权

    公开(公告)号：US10593064B2

    公开(公告)日：2020-03-17

    申请号：US15475916

    申请日：2017-03-31

    Applicant: INTEL CORPORATION

    Inventor： Sagi Ben Moshe ,  Ido Nissenboim ,  Aviad Zabatani ,  Erez Sperling ,  Omer Sella

    IPC: H04N13/02 ,  G06T7/80 ,  H04N5/232

    Abstract: In accordance with disclosed embodiments, there is described a depth camera calibration system which includes: a depth camera to be calibrated; a calibration application to execute upon a mobile device, the calibration application to: (i) determine a precise image size of a calibration image to be displayed to a screen of the mobile device based on a screen size of the mobile device, the calibration image having embedded therein a plurality of objects of a known size, (ii) encode the known size of the objects into an optical machine-readable data representation, and (iii) display the encoded optical machine-readable data representation to the mobile device; in which the depth camera is to read the optical machine-readable data representation displayed by the mobile device to determine the known size of the objects of the calibration image; in which the calibration application is to display the calibration image to the mobile device; and in which an imager of the depth camera is to capture the objects of the coded image pattern and calibrate based on the known size of the objects of the captured calibration image. Other related embodiments are disclosed.

    RANGE ESTIMATION FOR LIGHT DETECTING AND RANGING (LIDAR) SYSTEMS
    34.
    发明申请
    RANGE ESTIMATION FOR LIGHT DETECTING AND RANGING (LIDAR) SYSTEMS 审中-公开

    公开(公告)号：US20190049586A1

    公开(公告)日：2019-02-14

    申请号：US15937641

    申请日：2018-03-27

    Applicant: Intel Corporation

    Inventor： Michael Bronstein ,  Ron Kimmel ,  Alex Bronstein ,  Ohad Menashe ,  Erez Sperling ,  Aviad Zabatani ,  Vitaly Surazhsky

    IPC: G01S17/89 ,  G01S7/486 ,  G01S17/10

    Abstract: Example range estimation apparatus disclosed herein include a first signal processor to process first data output from a light capturing device of a LIDAR system to estimate signal and noise power parameters of the LIDAR system. Disclosed example range estimation apparatus also include a second signal processor to generate templates corresponding to different possible propagation delays associated with second data output from the light capturing device while a modulated light beam is projected by the LIDAR system, the templates generated based on the signal and noise power parameters, and the second data having a higher sampling rate and a lower quantization resolution than the first data. In some examples, the second signal processor also cross-correlates the templates with the second data to determine an estimated propagation delay associated with the second data, the estimated propagation delay convertible to an estimated range to an object that reflected the modulated light beam.

    SYSTEMS, METHODS, AND APPARATUSES FOR IMPLEMENTING MAXIMUM LIKELIHOOD IMAGE BINARIZATION IN A CODED LIGHT RANGE CAMERA
    40.
    发明申请
    SYSTEMS, METHODS, AND APPARATUSES FOR IMPLEMENTING MAXIMUM LIKELIHOOD IMAGE BINARIZATION IN A CODED LIGHT RANGE CAMERA 审中-公开

    公开(公告)号：US20170131089A1

    公开(公告)日：2017-05-11

    申请号：US14934586

    申请日：2015-11-06

    Applicant: Intel Corporation

    Inventor： Alexander Bronstein ,  Aviad Zabatani ,  Ron Kimmel ,  Michael Bronstein ,  Erez Sperling ,  Vitaly Surazhsky

    IPC: G01B11/22 ,  G01B11/25 ,  H04N5/33 ,  H04N13/02 ,  H04N5/225

    CPC classification number: H04N5/33 ,  H04N5/2226 ,  H04N5/2256 ,  H04N13/246 ,  H04N13/257

    Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing maximum likelihood image binarization in a coded light range camera. For instance, a depth camera is described having therein a projector to project a collection of planes, each at a different angle of projection, onto a scene via a plurality of coded pattern images, each of the coded pattern images having encoded therein via a plurality of stripes, the angle of projection for the plane of projection within which the respective coded pattern image is projected; a detector to capture the plurality of coded pattern images from the scene; a processing component to adjust for ambient illumination and reflection properties of the scene; in which the processing component to further output a bit value for each pixel in the captured plurality of coded pattern images and to output a sub-pixel offset for the pixels positioned upon transitions of the plurality of stripes in the captured plurality of coded pattern images; a decoder to decode each of the plurality of coded pattern images and to adjust the decoded plurality of coded image patterns based on the sub-pixel offsets to determine the angle of projection for the corresponding plane of projection; and a triangulator to determine a position of an object in the scene based on an intersection of the determined angle of projection for the corresponding plane of projection with a known ray emanating from the detector that detected the plurality of the coded pattern images from the scene. Other related embodiments are disclosed.

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