SELF-ILLUMINATING DISTORTION HARP
    1.
    发明公开

    公开(公告)号:US20230185085A1

    公开(公告)日:2023-06-15

    申请号:US17550674

    申请日:2021-12-14

    CPC classification number: G02B27/0025 G02B6/001

    Abstract: Apparatus and methods are provided for using a self-illuminating harp to calibrate for distortion. In particular, apparatus, methods and systems are provided for imaging and analyzing self-illuminated harp in order to correct for lens distortion. In various implementations, an array of media is strung plumb which resembles a harp. The media can be light fibers or other suitable material which can be strung in a straight line. The cores of translucent fibers are illuminated. These are configured to scatter light throughout their bulk which escapes the core by egressing along the length of fiber. This light produces plumb lines which can be imaged, analyzed and model. In some implementations, imaging is performed by rotation to include a full FOV.

    INTENSITY-BASED LIDAR-RADAR TARGET
    3.
    发明公开

    公开(公告)号:US20230184890A1

    公开(公告)日:2023-06-15

    申请号:US17548549

    申请日:2021-12-12

    CPC classification number: G01S7/4082 G01S7/497 G01S13/75 G01S17/74 G01S17/931

    Abstract: Apparatus and methods are provided for using a retroflected target for calibrating environmental geometric sensing systems. In particular, apparatus and methods are provided for unstructured calibrations using a plurality of spatial sensing data acquisitions and the data correlations thereof. In various implementations, a combined LiDAR-RADAR detector is used to associate one with the other. According to one aspect of the present disclosure, a predetermined LiDAR detector is used as a reference frame for RADAR segmentation. Specifically, a LiDAR point-of-interest is conveyed to RADAR system for unstructured calibration. To that end, RADAR and LiDAR can be calibrated with one another without the need for absolute positioning.

    Focal length validation using three-dimensional pose estimates

    公开(公告)号:US11587258B1

    公开(公告)日:2023-02-21

    申请号:US17523152

    申请日:2021-11-10

    Abstract: A computer-implemented method for focal length validation may include receiving, by a computing system, initial image data for an optical target from a camera. The method may also include determining a distortion parameter associated with the camera, based on the initial image data. The method may also include receiving, by the computing system, a first image of the optical target, wherein the first image is associated with a first position of the camera. The method may also include receiving, by the computing system, a second image of the optical target, wherein the second image is associated with a second position of the camera. The method may also include determining an estimated displacement between the first position of the camera and the second position of the camera based on the first image and the second image. The method may further include determining a focal length based on the estimated displacement and a measured displacement of the camera between the first position and the second position.

    SENSOR CALIBRATION WITH RELATIVE OBJECT POSITIONS WITHIN A SCENE

    公开(公告)号:US20230186518A1

    公开(公告)日:2023-06-15

    申请号:US17550437

    申请日:2021-12-14

    CPC classification number: G06T7/80 G06T7/70 G06T2207/10028 G06T2207/10048

    Abstract: To calibrate a set of sensors with respect to one another, such as the respective position and orientation of the sensors, a sensor calibration system uses a well-measured calibration scene in which the objects within the calibration scene have established positions, and optionally orientations (e.g., rotational directions), within the calibration scene and with respect to one another. The calibration scene is captured by a set of sensors to generate respective sensor views of the scene. Each sensor view is analyzed to detect control objects (e.g., features thereof) with respect to the coordinates of each sensor view. Using the known relationship of the calibration objects within the calibration scene, the sensors are calibrated to determine calibration parameters for a joint coordinate system that the maps the detected positions in the sensor view with the relative positions of the measured calibration scene.

    ILLUMINATED VEHICLE SENSOR CALIBRATION TARGET

    公开(公告)号:US20210199479A1

    公开(公告)日:2021-07-01

    申请号:US16730054

    申请日:2019-12-30

    Abstract: An illuminated sensor target includes a light source. Actuating the light source illuminates the sensor target. The illuminated sensor target is recognized by one or more sensors of a vehicle during a calibration process, and is used to calibrate the one or more sensors of the vehicle during the calibration process. The illuminated sensor target is illuminated during at least part of the calibration process, which may involve rotation of the vehicle about a turntable, with the illuminated sensor target positioned within a range of the turntable along with other sensors targets, which may also be illuminated.

    Validation of infrared (IR) camera distortion accuracy

    公开(公告)号:US12225321B2

    公开(公告)日:2025-02-11

    申请号:US18244884

    申请日:2023-09-11

    Abstract: The present technology is directed to determining an accuracy of an infrared (IR) camera, and more particularly, validating a distortion accuracy of an IR camera. The present technology can receive one or more images of a calibration harp captured by the IR camera, wherein the one or more images include a plurality of lines corresponding to a plurality of strings of the calibration harp. The present technology can further determine a degree of distortion of the plurality of lines based on a distortion error coefficient, wherein the distortion error coefficient is computed based on edge points of the plurality of lines on the one or more images.

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