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    DETERMINING TRANSLATION SCALE IN A MULTI-CAMERA DYNAMIC CALIBRATION SYSTEM
    1.
    发明公开
    DETERMINING TRANSLATION SCALE IN A MULTI-CAMERA DYNAMIC CALIBRATION SYSTEM 审中-公开

    公开(公告)号：US20240089601A1

    公开(公告)日：2024-03-14

    申请号：US18507593

    申请日：2023-11-13

    Applicant: Intel Corporation

    Inventor： Avinash Kumar

    IPC: H04N23/695 ,  G06V10/44 ,  G06V10/74

    CPC classification number: H04N23/695 ,  G06V10/44 ,  G06V10/761

    Abstract: Multi-camera dynamic calibration can be performed using three or more images, each from a separate camera viewing the same 3D scene. Multi-camera translation magnitude can be determined by incorporating information from an additional image. A relative translation scale is determined for a configuration of three cameras using a ratio of translation magnitudes. The translation scale can be expanded to configurations having more than three cameras using the relative scale of the pair-wise camera translations to determine translation scales for a multi-camera set-up. If the ground-truth translation is known for a pair of cameras, then the translation magnitude can be determined for all pairs of cameras to ground-truth accuracy. Multi-camera scale estimation is divided into smaller overlapping triplet-camera scale estimation, and the translation scale determination corresponding to each image pair is applied iteratively to overlapping sets of three images. The estimates can be merged by linearly aligning overlapping sets of estimates.

    DETECTION OF AN ANOMALOUS IMAGE ASSOCIATED WITH IMAGE DATA FROM ONE OR MORE CAMERAS OF A COMPUTER-AIDED OR AUTONOMOUS DRIVING VEHICLE
    3.
    发明申请
    DETECTION OF AN ANOMALOUS IMAGE ASSOCIATED WITH IMAGE DATA FROM ONE OR MORE CAMERAS OF A COMPUTER-AIDED OR AUTONOMOUS DRIVING VEHICLE 审中-公开

    公开(公告)号：US20190225234A1

    公开(公告)日：2019-07-25

    申请号：US16369898

    申请日：2019-03-29

    Applicant: Intel Corporation

    Inventor： Avinash Kumar ,  Sridhar Sharma ,  Nilesh Ahuja

    IPC: B60W50/02 ,  G06T7/80 ,  B60R11/04

    Abstract: Embodiments include apparatuses, systems, and methods for a computer-aided or autonomous driving (CA/AD) system to detect an anomalous image associated with image data from one or more cameras of a computer-aided or autonomous driving (CA/AD) vehicle. Embodiments may include a sensor interface disposed in the CA/AD vehicle to receive, from the one or more cameras, a stream of image data including single view image data captured by the one or more cameras or multi-view image data collaboratively captured by multiple ones of the one or more cameras. In embodiments, a consistency analysis unit disposed in the CA/AD vehicle is coupled to the sensor interface to perform a consistency check on pixel-level data using single view or multi-view geometric methods to determine whether the image data includes an anomalous image. Other embodiments may also be described and claimed.

    DYNAMIC CALIBRATION OF MULTI-CAMERA SYSTEMS USING MULTIPLE MULTI-VIEW IMAGE FRAMES
    4.
    发明申请
    DYNAMIC CALIBRATION OF MULTI-CAMERA SYSTEMS USING MULTIPLE MULTI-VIEW IMAGE FRAMES 审中-公开

    公开(公告)号：US20190028688A1

    公开(公告)日：2019-01-24

    申请号：US15813012

    申请日：2017-11-14

    Applicant: INTEL CORPORATION

    Inventor： Avinash Kumar ,  Ramkumar Narayanswamy ,  Manjula Gururaj

    IPC: H04N13/02 ,  G06K9/46

    Abstract: System, apparatus, method, and computer readable media for on-the-fly dynamic calibration of multi-camera platforms using images of multiple different scenes. Image frame sets previously captured by the platform are scored as potential candidates from which new calibration parameters may be computed. The candidate frames are ranked according to their score and iteratively added to the calibration frame set according to an objective function. The selected frame set may be selected from the candidates based on a reference frame, which may be a most recently captured frame, for example. A device platform including a CM and comporting with the exemplary architecture may enhance multi-camera functionality in the field by keeping calibration parameters current. Various computer vision algorithms may then rely upon these parameters, for example.

    CALIBRATING DEPTH CAMERAS USING NATURAL OBJECTS WITH EXPECTED SHAPES
    8.
    发明申请
    CALIBRATING DEPTH CAMERAS USING NATURAL OBJECTS WITH EXPECTED SHAPES 审中-公开

    公开(公告)号：US20180352119A1

    公开(公告)日：2018-12-06

    申请号：US15608200

    申请日：2017-05-30

    Applicant: INTEL CORPORATION

    Inventor： Richmond F. Hicks ,  Avinash Kumar

    IPC: H04N5/222 ,  G06K9/32 ,  H04N13/00

    Abstract: An example apparatus for calibrating depth cameras includes an image receiver to receive an image from a depth camera. The apparatus also includes an object detector to detect a natural object with an expected shape in the image. The apparatus further includes a parameter adjuster to adjust a parameter of the depth camera to reduce a detected difference between the expected shape and a measured characteristic of the natural object.

    Detection of an anomalous image associated with image data from one or more cameras of a computer-aided or autonomous driving vehicle
    10.
    发明授权
    Detection of an anomalous image associated with image data from one or more cameras of a computer-aided or autonomous driving vehicle 有权

    公开(公告)号：US11148676B2

    公开(公告)日：2021-10-19

    申请号：US16369898

    申请日：2019-03-29

    Applicant: Intel Corporation

    Inventor： Avinash Kumar ,  Sridhar Sharma ,  Nilesh Ahuja

    IPC: B60W50/02 ,  G06T7/00 ,  B60R11/04 ,  G06K9/00 ,  G06T7/80

    Abstract: Embodiments include apparatuses, systems, and methods for a computer-aided or autonomous driving (CA/AD) system to detect an anomalous image associated with image data from one or more cameras of a computer-aided or autonomous driving (CA/AD) vehicle. Embodiments may include a sensor interface disposed in the CA/AD vehicle to receive, from the one or more cameras, a stream of image data including single view image data captured by the one or more cameras or multi-view image data collaboratively captured by multiple ones of the one or more cameras. In embodiments, a consistency analysis unit disposed in the CA/AD vehicle is coupled to the sensor interface to perform a consistency check on pixel-level data using single view or multi-view geometric methods to determine whether the image data includes an anomalous image. Other embodiments may also be described and claimed.

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