Huawei Technologies Co., Limited

Future Wei Technologies, Inc.

Tektronix, Inc.

Huawei International Pte. Ltd.

Shenzhen Yinwang Intelligent Technologies Co., Ltd.

Hai Yu

Fatih Porikli

Yanjiang Yang

Zhuo Wei

Lei Yang

Tieyan Li

Weiran Nie

Qijie Xu

Girish Shivalingappa Revadigar

Yuzhu Wu

Rehana Yasmin

Youjia Huang

Pengcheng Zhou

Shumang Hu

Haiping Lv

Yuteng Zhang

Fuliang Weng

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

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.

Speech recognition method, apparatus, and device, and computer-readable storage medium

A method for authenticating a connection between a user device and a vehicle includes sending, by the vehicle, a first wireless signal through a connection channel, receiving, by the vehicle, a second wireless signal through the connection channel, and acquiring, by the vehicle, a second signal strength sequence from second N continuous signal strength characteristics (PF) of the second wireless signal, receiving, by the user device from the vehicle, the first wireless signal, acquiring a first signal strength sequence from first N continuous signal strength characteristics (PF) of the first wireless signal, and communicating, by the user device, the first signal strength sequence to the vehicle.

System and method for authenticating a connection between a user device and a vehicle using physical layer features

This document describes a system and method for generating two types of session keys for encoding digital communications between two devices. In particular, the first type of session key possesses escrow properties whereby a trusted third party will be able to generate the first type of session key to decode the digital communications between the two devices while the second type of session key does not possess escrow properties.

System and method for computing an escrow session key and a private session key for encoding digital communications between two devices

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.

Filtering model training method and speech recognition method

A computer-implemented method for estimating head pose angles of a user includes determining a first rotation between a first head pose axis associated with a first image of a plurality of images of the user and a camera axis associated with a camera taking the images. A second rotation is determined between a second head pose axis associated with a second image of the user and the camera axis. The first and second head pose axes are determined based on light reflections within the plurality of images. A head pose angle of the user can be estimated based on the first rotation and the second rotation. An alert can be generated based on the estimated head pose angle.

Head pose and distraction estimation

A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.

Primary preview region and gaze based driver distraction detection

A modular power supply including a voltage regulator configured to output a voltage, a first output configured to connect to a device under test and output the voltage from the regulator, a microcontroller connected to the voltage regulator, and an interface configured to connect to a test and measurement instrument. The interface includes an input configured to receive power from the test and measurement instrument and a second output configured to output a signal characteristic of the first output.

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Shanghai, China

Hai Yu