Head-up display and head-up display method

    公开(公告)号:US12092819B2

    公开(公告)日:2024-09-17

    申请号:US18310179

    申请日:2023-05-01

    Abstract: A head-up display includes a picture generation unit and a first lens. The picture generation unit is configured to output a first light ray and a second light ray. The first light ray is used to output and display a first picture, and the second light ray is used to output and display a second picture. When the first lens is at the first position, the first light ray and the second light ray do not pass through the first lens. When the first lens is at the second position, the first light ray passes through the first lens. The head-up display can implement switching between a single image plane and a plurality of image planes.

    Head-Up Display and Head-Up Display Method
    2.
    发明公开

    公开(公告)号:US20230266588A1

    公开(公告)日:2023-08-24

    申请号:US18310179

    申请日:2023-05-01

    Abstract: A head-up display includes a picture generation unit and a first lens. The picture generation unit is configured to output a first light ray and a second light ray. The first light ray is used to output and display a first picture, and the second light ray is used to output and display a second picture. When the first lens is at the first position, the first light ray and the second light ray do not pass through the first lens. When the first lens is at the second position, the first light ray passes through the first lens. The head-up display can implement switching between a single image plane and a plurality of image planes.

    SPEECH RECOGNITION METHOD, APPARATUS, AND DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20220093087A1

    公开(公告)日:2022-03-24

    申请号:US17539005

    申请日:2021-11-30

    Abstract: A speech recognition method, apparatus, and device, and a computer-readable storage medium provided pertain to the field of artificial intelligence technologies. The method includes: obtaining or generating a dynamic target language model based on reply information of a first intent, where the dynamic target language model includes a front-end part and a core part; obtaining a speech signal, parsing the speech signal to generate a key word; and invoking the dynamic target language model to determine a second intent and a service content. The front-end part of the dynamic target language model parses out the second intent based on the key word, and the core part of the dynamic target language model parses out the service content based on the key word. The speech recognition method prevents a provided service content from deviating from a user requirement and achieves a good recognition effect.

    Personalized Routing Based on Driver Fatigue Map

    公开(公告)号:US20220011132A1

    公开(公告)日:2022-01-13

    申请号:US17486335

    申请日:2021-09-27

    Abstract: The disclosure relates to technology for a navigation system that enhances the safety of drivers using fatigue detection mapping. The navigation system accesses data sources storing map data a route for drivers of one or more first vehicles. Based on the map data, a personalized fatigue map for a driver of a second vehicle is generated based on the map data. The personalized fatigue map displays predicted driver fatigue of the driver of the second vehicle on the route. Drivers in the first and second vehicles are monitored to detect driver fatigue and a level of the driver fatigue is measured according to a calculated fatigue score. When driver fatigue is detected, a recommendation is output to the driver of the second vehicle that is based on the level of the driver fatigue. The personalized fatigue map is updated to reflect the recommendation.

    Filtering Model Training Method and Speech Recognition Method

    公开(公告)号:US20200258499A1

    公开(公告)日:2020-08-13

    申请号:US16861856

    申请日:2020-04-29

    Inventor: Weiran Nie Hai Yu

    Abstract: A filtering model training method includes obtaining N original syllables, obtaining N recognized syllables, and obtaining N syllable distances based on the N original syllables and the N recognized syllables, where the N syllable distances are in a one-to-one correspondence with N syllable pairs, the N original syllables and the N recognized syllables form the N syllable pairs, each syllable pair includes an original syllable and a recognized syllable that correspond to each other, and each syllable distance is used to indicate a similarity between an original syllable and a recognized syllable that are included in a corresponding syllable pair.

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