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    Non-Intrusive In-Vehicle Data Acquisition System By Sensing Actions Of Vehicle Occupants
    6.
    发明申请
    Non-Intrusive In-Vehicle Data Acquisition System By Sensing Actions Of Vehicle Occupants 有权

    公开(公告)号：US20210284175A1

    公开(公告)日：2021-09-16

    申请号：US16815482

    申请日：2020-03-11

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Syed B. Mehdi ,  Jeremie Dernotte ,  Wei Zeng

    IPC: B60W40/09 ,  B60K35/00 ,  B60R11/04 ,  G06K9/00 ,  G06N3/08

    Abstract: A method comprises detecting identities of occupants of a vehicle using any of a camera system, an audio system, a biometric sensing system, and a mobile device detection system in the vehicle. The method comprises matching the detected identities to corresponding profiles of the occupants. The profiles include permissions set by the occupants for collecting data about preferences of the occupants. The method comprises perceiving, based on the permissions in the profiles, preferences of the occupants for inputs received by the occupants. The perceiving includes capturing responses of the occupants to the inputs using any of the camera system, a haptic sensing system, and an audio system in the vehicle, and wherein the perceiving further includes processing the responses using trained models. The method comprises adding the preferences to the profiles to provide content to the occupants based on the preferences stored in the profiles.

    AUTOMATED DATA COLLECTION FOR CONTINUED REFINEMENT IN THE DETECTION OF OBJECTS-OF-INTEREST
    7.
    发明申请
    AUTOMATED DATA COLLECTION FOR CONTINUED REFINEMENT IN THE DETECTION OF OBJECTS-OF-INTEREST 审中-公开

    公开(公告)号：US20200234061A1

    公开(公告)日：2020-07-23

    申请号：US16255056

    申请日：2019-01-23

    Applicant: GM Global Technology Operations LLC

    Inventor： Syed B. Mehdi ,  Yasen Hu ,  Upali P. Mudalige

    IPC: G06K9/00 ,  G06K9/20 ,  G06K9/62 ,  G06T7/50 ,  B60W50/00

    Abstract: A method of updating an identification algorithm of a vehicle includes sensing an image and drawing boundary boxes in the image. The algorithm attempts to identify an object-of-interest within each respective boundary box. The algorithm also attempts to identify a component of the object-of-interest within each respective boundary box, and if component is identified, calculates an excluded amount of a component boundary that is outside an object boundary. When the excluded amount is greater than a coverage threshold, the algorithm communicates the image to a processing center, which may identify a previously un-identified the object-of-interest in the image. The processing center may add the image to a training set of images to define a revised training set of images, and retrain the identification algorithm using the revised training set of images. The updated identification algorithm may then be uploaded onto the vehicle.

    Fast trajectory planning via maneuver pattern selection
    8.
    发明授权
    Fast trajectory planning via maneuver pattern selection 有权

    公开(公告)号：US10678248B2

    公开(公告)日：2020-06-09

    申请号：US15897368

    申请日：2018-02-15

    Applicant: GM Global Technology Operations LLC

    Inventor： Jordan Ford ,  Sayyed Rouhollah Jafari Tafti ,  Syed B. Mehdi

    IPC: G05D1/02 ,  G05D1/00

    Abstract: Technical solutions are described for maneuvering a vehicle autonomously is described. An example method includes receiving, by a controller, a command to navigate the vehicle, the command based on a global route calculation. The method further includes ranking, by the controller, maneuver patterns from a list of maneuver patterns to generate a ranked list of maneuver patterns. The method further includes selecting a maneuver pattern from the ranked list, and in response to a comfort score assigned to the selected maneuver pattern being above a predetermined threshold, executing the maneuver pattern.

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