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    Systems and methods for determining fuel level based on fuel consumption and refill data
    21.
    发明授权
    Systems and methods for determining fuel level based on fuel consumption and refill data 有权

    公开(公告)号：US10823125B1

    公开(公告)日：2020-11-03

    申请号：US16673356

    申请日：2019-11-04

    Applicant: TOYOTA CONNECTED NORTH AMERICA, INC.

    Inventor： Raja Shekar Kilaru ,  Karthik Kaja ,  Marshall Sosland ,  Randall Mason Harris

    IPC: F02M37/00 ,  B60K15/03

    Abstract: Embodiments include systems and methods of reporting the fuel level in a fuel tank of a vehicle. The method includes receiving a fuel consumption curve and a fuel refill curve, receiving a first fuel level value and a second fuel level value from a fuel level sensor, and determining whether the vehicle is consuming fuel or receiving fuel based on a change between the first fuel level value and the second fuel level value. In response to determining that the vehicle is consuming fuel, the method further includes determining a fuel gauge display value based on the second fuel level value and the fuel consumption curve. In response to determining that the vehicle is receiving fuel, the method further includes determining a fuel gauge display value based on the second fuel level value and the fuel refill curve. The fuel gauge display value is presented on a fuel gauge display.

    Systems and methods for obtaining location intelligence
    22.
    发明授权
    Systems and methods for obtaining location intelligence 有权

    公开(公告)号：US10820166B1

    公开(公告)日：2020-10-27

    申请号：US16703158

    申请日：2019-12-04

    Applicant: Toyota Connected North America, Inc.

    Inventor： Dingchao Zhang

    IPC: H04W4/021 ,  H04W4/18 ,  H04W4/40 ,  G06N3/04 ,  G07C5/08 ,  G07C5/00 ,  G06N3/08 ,  G06F16/29

    Abstract: System, methods, and other embodiments described herein relate to location intelligence. In one embodiment, a method of obtaining location intelligence includes receiving a plurality of datasets from a plurality of vehicles, the datasets being associated with a same geographical location and respectively including at least vehicle descriptive information that describes one or more aspects of the respective vehicles and feature data that indicates a status of at least one respective feature of the respective vehicles, combining the plurality of datasets to form a location tensor associated with the geographical location, extracting, from the location tensor, an embedding that indicates information contained in the location tensor, and storing the embedding in a database in association with the geographical location.

    SYSTEMS AND METHODS OF VOICEPRINT AUTHENTICATION AND INTERPOLATION
    24.
    发明申请
    SYSTEMS AND METHODS OF VOICEPRINT AUTHENTICATION AND INTERPOLATION 有权

    公开(公告)号：US20240428101A1

    公开(公告)日：2024-12-26

    申请号：US18339677

    申请日：2023-06-22

    Applicant: Toyota Connected North America, Inc.

    Inventor： Taylor Smith ,  King Chun Ma ,  Benjamin R. Resnick ,  Haris Siddiqui

    IPC: G06N7/01 ,  G06F21/32 ,  G10L17/02 ,  G10L17/04 ,  G10L17/06 ,  G10L17/18 ,  G10L17/22

    Abstract: Embodiments are direct to methods and systems for authenticating a user and interpolating user preference embeddings. The systems generate, using a neural network trained to generate features based on training data comprising human voices spoken by a plurality of historical speakers inside a vehicle, input features based on a human voice of a current speaker inside the vehicle, and calculates similarities between an input vector of the input features and historical vectors in voiceprints of one or more enrolled users. After determining a similarity between the input vector and at least one historical vector in a voiceprint of an identified user is less than a threshold similarity, the systems authenticate the current speaker as the identified user, calculate a probabilistic notion based on the similarity, and apply the probabilistic notion to interpolate between downstream user preference embeddings associated with the identified user.

    DATA STRUCTURE FOR TASK-ORIENTED DIALOG MODELING
    30.
    发明公开
    DATA STRUCTURE FOR TASK-ORIENTED DIALOG MODELING 审中-公开

    公开(公告)号：US20240233731A1

    公开(公告)日：2024-07-11

    申请号：US18094284

    申请日：2023-01-06

    Applicant: TOYOTA CONNECTED NORTH AMERICA, INC.

    Inventor： Taylor G. Smith ,  Tori Salido ,  Sebastin Ajay John Jeyaseelan ,  Kordel K. France

    IPC: G10L15/26 ,  G06F40/166 ,  G10L25/78

    CPC classification number: G10L15/26 ,  G06F40/166 ,  G10L25/78

    Abstract: An example operation includes one or more of receiving utterances from a user via an input device, identifying a plurality of sentences spoken by the user from the utterances, converting the utterances into a sequence of tokens and storing the sequence of tokens within a data structure, wherein the storing comprises adding padding tokens to the data structure in between the sequence of tokens to normalize a structure among the plurality of sentences within the data structure, executing a machine learning model on the data structure with the added padding tokens to determine to make a prediction, removing the padding tokens from the data structure, and executing a natural language processing (NLP) model on the sequence of tokens within the data structure with the padding tokens removed to determine a response to the user.

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