IMAGE-BASED NAVIGATION
    1.
    发明公开

    公开(公告)号:US20240125609A1

    公开(公告)日:2024-04-18

    申请号:US18487679

    申请日:2023-10-16

    CPC classification number: G01C21/3602 G01C21/3608 G01C21/3647 G10L15/26

    Abstract: A method includes receiving, at one or more processors of a vehicle, user speech input, the user speech input including a navigation command and a description of a photograph. The method also includes transmitting, via a local network, query data based on the user speech input to a portable computing device associated with the vehicle to initiate an image search based on the user speech input. The method further includes receiving, at the one or more processors of the vehicle from the portable computing device via the local network, location data indicating a location associated with the photograph and setting, by the one or more processors of the vehicle, a navigation waypoint based on the location data and based on the navigation command.

    Battery failure prediction
    3.
    发明授权

    公开(公告)号:US11796602B2

    公开(公告)日:2023-10-24

    申请号:US17663326

    申请日:2022-05-13

    Inventor: Sridhar Sudarsan

    CPC classification number: G01R31/392

    Abstract: A method includes obtaining driver characterization data based on sensor data from one or more sensors onboard a vehicle. The sensor data is captured during a time period that includes multiple discharging operations and multiple recharging operations of a battery of the vehicle. The method also includes providing the driver characterization data as input to a trained model to generate a model output. The model output includes a classification that associates the driver characterization data with a driver type profile. The method also includes generating an alert responsive to a charge of the battery deviating from an expected charge of the battery. The expected charge is based on the classification.

    SEARCHABLE DATA STRUCTURE FOR ELECTRONIC DOCUMENTS

    公开(公告)号:US20230153335A1

    公开(公告)日:2023-05-18

    申请号:US18054787

    申请日:2022-11-11

    Inventor: William McNeill

    CPC classification number: G06F16/316 G06V30/414 G06V30/412 G06F40/30

    Abstract: A method includes obtaining, at a device, a hierarchical structure representing a graphical layout of content items of an electronic document, the content items including at least text. The method also includes generating a word embedding representing a word of the electronic document. The method further includes determining position information of a location of the word in the electronic document. The method also includes determining a descriptor that indicates a relationship of the location to the hierarchical structure. The method further includes providing input data to a machine learning model to generate a semantic region category label of a semantic region of the electronic document. The semantic region includes the word. The input data includes the word embedding, the position information, and the descriptor.

    ARTIFICIAL INTELLIGENCE-BASED SYSTEMS AND METHODS FOR VEHICLE OPERATION

    公开(公告)号:US20230118340A1

    公开(公告)日:2023-04-20

    申请号:US18068313

    申请日:2022-12-19

    Abstract: A method includes receiving, at a server, first sensor data from a first vehicle. The method includes receiving, at the server, second sensor data from a second vehicle. The second sensor data includes condition data indicating a road condition. The method includes aggregating, at the server, a plurality of sensor readings to generate aggregated sensor data. The plurality of sensor readings include the first sensor data and the second sensor data. The method further includes transmitting a first message based on the aggregated sensor data to the first vehicle, wherein the first message causes the first vehicle to perform a first action, the first action comprising avoiding the road condition, displaying an indicator corresponding to the engine problem, displaying a booked route, or a combination thereof.

    CONTROLLING THE OPERATION OF A COMPONENT IN AN ELECTRIC VEHICLE

    公开(公告)号:US20220227231A1

    公开(公告)日:2022-07-21

    申请号:US17580405

    申请日:2022-01-20

    Abstract: Controlling the operation of one or more components in an electric vehicle, including: receiving, from one or more vehicle operation sensors, operation data including sensor data corresponding to a condition of one or more components of the vehicle; determining, using a trained model, whether the one or more components of the vehicle are operating in an acceptable manner; and generating a control signal to adjust operation of the one or more components of the vehicle.

    CONTACTLESS PAYMENT FROM A VEHICLE

    公开(公告)号:US20220156748A1

    公开(公告)日:2022-05-19

    申请号:US17525373

    申请日:2021-11-12

    Abstract: Contactless payment from a vehicle, including: configuring the vehicle with payment information associated with a payment mechanism; receiving a request for payment from a payment recipient; requesting, by the vehicle, permission to transmit at least a portion of the payment information associated with the payment mechanism to the payment receiving mechanism; receiving, by the vehicle, permission to transmit at least a portion of the payment information associated with the payment mechanism to the payment receiving mechanism; and transmitting, from the vehicle to a payment receiving mechanism, at least a portion of the payment information associated with a payment mechanism.

    MACHINE LEARNING FOR PREDICTIVE OPTMIZATION

    公开(公告)号:US20220147897A1

    公开(公告)日:2022-05-12

    申请号:US17453987

    申请日:2021-11-08

    Abstract: A method includes obtaining historical data including sensor data from one or more sensors associated with a device and contextual data indicative of one or more conditions external to the device and independent of operation of the device. The method also includes providing at least a portion of the historical data as input to one or more machine-learning-based projection models to generate projection data associated with a future condition of the device. The method further includes providing input data to one or more machine-learning-based optimization models to determine one or more operational parameters that are expected to improve an operational metric associated with one or more devices. The one or more devices include the device, and the input data is based, at least in part, on the historical data and the projection data.

    SERVER-SUPPORTED MALWARE DETECTION AND PROTECTION

    公开(公告)号:US20220124113A1

    公开(公告)日:2022-04-21

    申请号:US17645506

    申请日:2021-12-22

    Abstract: A method includes receiving, at a first server from a second server, a first file attribute associated with a file. The method includes making a determination, at the first server based on the first file attribute, of availability of a classification for the file from a cache of the first server. The method includes, in response to the determination indicating that the classification is not available from the cache, sending a notification to the second server indicating that the classification for the file is not available. The method also includes receiving a first classification for the file from the second server at the first server. The first classification is generated by the second server responsive to the notification.

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