中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

10 records (took 0.014 seconds)

    Integrated system for detection of driver condition
    4.
    发明授权
    Integrated system for detection of driver condition 有权

    公开(公告)号：US10592785B2

    公开(公告)日：2020-03-17

    申请号：US15647748

    申请日：2017-07-12

    Applicant: Futurewei Technologies, Inc.

    Inventor： Yingxuan Zhu ,  Lifeng Liu ,  Xiaotian Yin ,  Jun Zhang ,  Jian Li

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46 ,  B60K28/02 ,  B60W40/08 ,  B60W50/14 ,  G05D1/00

    Abstract: Methods, apparatus, and systems are provided for integrated driver expression recognition and vehicle interior environment classification to detect driver condition for safety. A method includes obtaining an image of a driver of a vehicle and an image of an interior environment of the vehicle. Using a machine learning method, the images are processed to classify a condition of the driver and of the interior environment of the vehicle. The machine learning method includes general convolutional neural network (CNN) and CNN with adaptive filters. The adaptive filters are determined based on influence of filters. The classification results are combined and compared with predetermined thresholds to determine if a decision can be made based on existing information. Additional information is requested by self-motivated learning if a decision cannot be made, and safety is determined based on the combined classification results. A warning is provided to the driver based on the safety determination.

    INTEGRATED SYSTEM FOR DETECTION OF DRIVER CONDITION
    9.
    发明申请
    INTEGRATED SYSTEM FOR DETECTION OF DRIVER CONDITION 审中-公开

    公开(公告)号：US20190019068A1

    公开(公告)日：2019-01-17

    申请号：US15647748

    申请日：2017-07-12

    Applicant: Futurewei Technologies, Inc.

    Inventor： Yingxuan Zhu ,  Lifeng Liu ,  Xiaotian Yin ,  Jun Zhang ,  Jian Li

    IPC: G06K9/62 ,  G06K9/00 ,  G05D1/00 ,  B60W40/08 ,  B60W50/14

    Abstract: Methods, apparatus, and systems are provided for integrated driver expression recognition and vehicle interior environment classification to detect driver condition for safety. A method includes obtaining an image of a driver of a vehicle and an image of an interior environment of the vehicle. Using a machine learning method, the images are processed to classify a condition of the driver and of the interior environment of the vehicle. The machine learning method includes general convolutional neural network (CNN) and CNN with adaptive filters. The adaptive filters are determined based on influence of filters. The classification results are combined and compared with predetermined thresholds to determine if a decision can be made based on existing information. Additional information is requested by self-motivated learning if a decision cannot be made, and safety is determined based on the combined classification results. A warning is provided to the driver based on the safety determination.

    SYSTEM AND METHODS FOR OBJECT FILTERING AND UNIFORM REPRESENTATION FOR AUTONOMOUS SYSTEMS
    10.
    发明申请
    SYSTEM AND METHODS FOR OBJECT FILTERING AND UNIFORM REPRESENTATION FOR AUTONOMOUS SYSTEMS 审中-公开

    公开(公告)号：US20180373992A1

    公开(公告)日：2018-12-27

    申请号：US15633470

    申请日：2017-06-26

    Applicant: Futurewei Technologies, Inc.

    Inventor： Xiaotian Yin ,  Lifeng Liu ,  Yingxuan Zhu ,  Jun Zhang ,  Jian Li

    IPC: G06N5/04 ,  G06K9/00 ,  G06N3/02

    Abstract: A computer-implemented method of controlling an autonomous system comprises: accessing, by one or more processors, sensor data that includes information regarding an area; disregarding, by the one or more processors, a portion of the sensor data that corresponds to objects outside of a region of interest; identifying, by the one or more processors, a plurality of objects from the sensor data; assigning, by the one or more processors, a priority to each of the plurality of objects; based on the priorities of the objects, selecting, by the one or more processors, a subset of the plurality of objects; generating, by the one or more processors, a representation of the selected objects; providing, by the one or more processors, the representation to a machine learning system as an input; and based on an output from the machine learning system resulting from the input, controlling the autonomous system.

Patent Agency Ranking