DETERMINING OPERATIONAL CAPABILITY FOR HUMAN-OPERATED SYSTEMS AND CONTROL APPLICATIONS

    公开(公告)号:US20250121843A1

    公开(公告)日:2025-04-17

    申请号:US18485035

    申请日:2023-10-11

    Abstract: Approaches presented herein provide for the automated determination of a level of impairment of a person, as may be relevant to the performance of a task. A light and camera-based system can be used to determine factors such as gaze nystagmus that are indicative of inebriation or impairment. A test system can simulate motion of a light using a determined pattern, and capture image data of at least the eye region of a person attempting to follow the motion. The captured image data can be analyzed using a neural network to infer at least one behavior of the user, and the behavior determination(s) can be used to determine a capacity or level of impairment of a user. An appropriate action can be taken, such as to allow a person with full capacity to operate a vehicle or perform a task, or to block access to such operation or performance if the person is determined to be impaired beyond an allowable amount.

    OCCUPANT ATTENTIVENESS AND COGNITIVE LOAD MONITORING FOR AUTONOMOUS AND SEMI-AUTONOMOUS DRIVING APPLICATIONS

    公开(公告)号:US20220121867A1

    公开(公告)日:2022-04-21

    申请号:US17076690

    申请日:2020-10-21

    Abstract: In various examples, estimated field of view or gaze information of a user may be projected external to a vehicle and compared to vehicle perception information corresponding to an environment outside of the vehicle. As a result, interior monitoring of a driver or occupant of the vehicle may be used to determine whether the driver or occupant has processed or seen certain object types, environmental conditions, or other information exterior to the vehicle. For a more holistic understanding of the state of the user, attentiveness and/or cognitive load of the user may be monitored to determine whether one or more actions should be taken. As a result, notifications, AEB system activations, and/or other actions may be determined based on a more complete state of the user as determined based on cognitive load, attentiveness, and/or a comparison between external perception of the vehicle and estimated perception of the user.

    Robust state estimation
    8.
    发明授权

    公开(公告)号:US12230040B2

    公开(公告)日:2025-02-18

    申请号:US18516531

    申请日:2023-11-21

    Abstract: State information can be determined for a subject that is robust to different inputs or conditions. For drowsiness, facial landmarks can be determined from captured image data and used to determine a set of blink parameters. These parameters can be used, such as with a temporal network, to estimate a state (e.g., drowsiness) of the subject. To improve robustness, an eye state determination network can determine eye state from the image data, without reliance on intermediate landmarks, that can be used, such as with another temporal network, to estimate the state of the subject. A weighted combination of these values can be used to determine an overall state of the subject. To improve accuracy, individual behavior patterns and context information can be utilized to account for variations in the data due to subject variation or current context rather than changes in state.

    IMAGE STITCHING WITH COLOR HARMONIZATION OF DE-PROCESSED IMAGES FOR SURROUND VIEW SYSTEMS AND APPLICATIONS

    公开(公告)号:US20240112376A1

    公开(公告)日:2024-04-04

    申请号:US17959940

    申请日:2022-10-04

    CPC classification number: G06T11/001 G06T11/60

    Abstract: In various examples, color harmonization is applied to images of an environment in a reference light space. For example, different cameras on an ego-object may use independent capturing algorithms to generate processed images of the environment representing a common time slice using different capture configuration parameters. The processed images may be transformed into deprocessed images by inverting one or more stages of image processing to transform the processed images into a reference light space of linear light, and color harmonization may be applied to the deprocessed images in the reference light space. After applying color harmonization, corresponding image processing may be reapplied to the harmonized images using corresponding capture configuration parameters, the resulting processed harmonized images may be stitched into a stitched image, and a visualization of the stitched image may be presented (e.g., on a monitor visible to an occupant or operator of the ego-object).

    System and method for optimal camera calibration

    公开(公告)号:US11657535B2

    公开(公告)日:2023-05-23

    申请号:US16653959

    申请日:2019-10-15

    CPC classification number: G06T7/80 G06F3/14 G06T7/70 H04N17/002 G06T2207/30268

    Abstract: Systems and methods for automatic camera calibration without using a robotic actuator or similar hardware. An electronic display screen projects an image of a simulated three-dimensional calibration pattern, such as a checkerboard, oriented in a particular pose. The camera captures an image of the calibration pattern that is displayed on the screen, and this image together with the transform of the simulated three-dimensional calibration pattern are used to calibrate the camera. Multiple different pictures of different poses are employed to determine the optimal set of poses that produces the lowest reprojection error. To aid in selecting different poses, i.e., spatial positions and orientations of the simulated three-dimensional calibration pattern, poses may be selected from only that portion of the camera's field of view which is expected to be typically used in operation of the camera.

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