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    METHOD AND SYSTEM FOR IMPROVING OBJECT DETECTION AND OBJECT CLASSIFICATION
    1.
    发明申请
    METHOD AND SYSTEM FOR IMPROVING OBJECT DETECTION AND OBJECT CLASSIFICATION 审中-公开

    公开(公告)号：US20190354785A1

    公开(公告)日：2019-11-21

    申请号：US15979869

    申请日：2018-05-15

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Soheil Samii ,  Unmesh Dutta Bordoloi ,  Fan Bai ,  Guangyu J. Zou

    IPC: G06K9/00 ,  G06K9/32 ,  G06N5/04

    Abstract: A system and method for object detection and classification includes receiving by a controller a first data of a scene, wherein the data reflects the scene at a first time, and performing a first classification of at least one object within the scene based on the data. The method includes determining a projected location of the at least one object corresponding to an estimated location at a second time. The method includes receiving a second data of the scene reflecting the scene at the second time. The method includes determining whether the projected location of the object corresponds to the location of the object as reflected by the second data. The method includes determining whether performing a second classification of the object is necessary based on the determination of whether the projected location corresponds to the location of the object reflected by the second data.

    DRIVING MONITORING AND SCORING SYSTEMS AND METHODS
    3.
    发明申请
    DRIVING MONITORING AND SCORING SYSTEMS AND METHODS 有权

    公开(公告)号：US20220261627A1

    公开(公告)日：2022-08-18

    申请号：US17174750

    申请日：2021-02-12

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Ramesh Sethu ,  Prakash Mohan Peranandam ,  Rami I. Debouk ,  Arun Adiththan ,  Guangyu J. Zou

    IPC: G06N3/08 ,  G06N3/04 ,  G07C5/04

    Abstract: Systems and method are provided for monitoring an operator of a vehicle. In one embodiment, a method includes: receiving, by a processor, data generated by the vehicle; determining, by the processor, causal time series event data based on the received data; computing, by the processor, a score for at least one of safety and quality based on a first machine learning model and the causal time series event data; computing, by the processor, at least one explanation for the score based on a second machine learning model; and generating, by the processor, display data to display at least one of the causal time series event data, the score, and the explanation to an end user.

    DOMAIN ADAPTATION FOR ANALYSIS OF IMAGES
    4.
    发明申请
    DOMAIN ADAPTATION FOR ANALYSIS OF IMAGES 有权

    公开(公告)号：US20210056718A1

    公开(公告)日：2021-02-25

    申请号：US16545674

    申请日：2019-08-20

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC ,  CARNEGIE MELLON UNIVERSITY

    Inventor： Jinsong Wang ,  Yang Zou ,  Guangyu J. Zou ,  Vijayakumar Bhagavatula

    IPC: G06T7/50 ,  G06T5/50 ,  G06K9/00

    Abstract: A system for analyzing images includes a processing device including a receiving module configured to receive an image associated with a target domain, and a domain adaptation module configured to characterize one or more features represented in the received image based on a domain adaptation model. The domain adaptation model is generated using a machine learning algorithm to train the domain adaptation model, and the machine learning algorithm is configured to train the domain adaptation model based on one or more source domain images associated with a source domain, one or more previously acquired images associated with the target domain, and acquired characterization data associated with the target domain. The system also includes an output module configured to output the received image with characterization data identifying one or more features characterized by the domain adaptation module.

    Method and system for improving object detection and object classification
    5.
    发明授权
    Method and system for improving object detection and object classification 有权

    公开(公告)号：US10579888B2

    公开(公告)日：2020-03-03

    申请号：US15979869

    申请日：2018-05-15

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Soheil Samii ,  Unmesh Dutta Bordoloi ,  Fan Bai ,  Guangyu J. Zou

    IPC: A61B5/18 ,  G06K9/00 ,  G06N5/04 ,  G06K9/32 ,  G08G1/01

    Abstract: A system and method for object detection and classification includes receiving by a controller a first data of a scene, wherein the data reflects the scene at a first time, and performing a first classification of at least one object within the scene based on the data. The method includes determining a projected location of the at least one object corresponding to an estimated location at a second time. The method includes receiving a second data of the scene reflecting the scene at the second time. The method includes determining whether the projected location of the object corresponds to the location of the object as reflected by the second data. The method includes determining whether performing a second classification of the object is necessary based on the determination of whether the projected location corresponds to the location of the object reflected by the second data.

    Domain adaptation for analysis of images
    7.
    发明授权
    Domain adaptation for analysis of images 有权

    公开(公告)号：US11113829B2

    公开(公告)日：2021-09-07

    申请号：US16545674

    申请日：2019-08-20

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC ,  CARNEGIE MELLON UNIVERSITY

    Inventor： Jinsong Wang ,  Yang Zou ,  Guangyu J. Zou ,  Vijayakumar Bhagavatula

    IPC: G06T7/50 ,  G06T5/50 ,  G06K9/00

    Abstract: A system for analyzing images includes a processing device including a receiving module configured to receive an image associated with a target domain, and a domain adaptation module configured to characterize one or more features represented in the received image based on a domain adaptation model. The domain adaptation model is generated using a machine learning algorithm to train the domain adaptation model, and the machine learning algorithm is configured to train the domain adaptation model based on one or more source domain images associated with a source domain, one or more previously acquired images associated with the target domain, and acquired characterization data associated with the target domain. The system also includes an output module configured to output the received image with characterization data identifying one or more features characterized by the domain adaptation module.

    SYSTEM AND METHOD FOR DISPLAYING INFORMATION IN A VEHICLE
    9.
    发明申请
    SYSTEM AND METHOD FOR DISPLAYING INFORMATION IN A VEHICLE 审中-公开

    公开(公告)号：US20200045260A1

    公开(公告)日：2020-02-06

    申请号：US16052725

    申请日：2018-08-02

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Andrew W. Averhart ,  Ismail Hamieh ,  Guangyu J. Zou ,  David A. Craig

    IPC: H04N5/445 ,  G06K9/00 ,  G06T3/40 ,  G06T3/60 ,  G06F17/30 ,  B60R1/00

    Abstract: An automotive vehicle includes a sensor configured to detect features external to the vehicle, an HMI configured to signal an alert to an operator of the vehicle, and a controller. The controller is in communication with the sensor and the HMI, and is in communication with a non-transient computer-readable storage medium provided with a road furniture database. The road furniture database includes a plurality of items of road furniture having associated road furniture geolocations and road furniture classifications. The controller is configured to, in response to the vehicle being proximate a respective road furniture geolocation for a respective item of road furniture and the sensor not detecting the respective item of road furniture, control the HMI to signal an alert.

    Artificial neural network for lane feature classification and localization
    10.
    发明授权
    Artificial neural network for lane feature classification and localization 有权

    公开(公告)号：US10528824B2

    公开(公告)日：2020-01-07

    申请号：US15837276

    申请日：2017-12-11

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Guangyu J. Zou

    IPC: G06K9/00 ,  G05D1/02 ,  G06N3/08 ,  B60W30/12 ,  G06K9/62 ,  G08G1/16

    Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method of controlling a vehicle, includes receiving, via at least one processor, image data from each of plural cameras mounted on the vehicle. The method includes assembling, via the at least one processor, the image data from each of the plural cameras to form assembled image data. The method includes classifying and localizing lane features using an artificial neural network based on the assembled image data, to produce classified and localized lane data. The method includes performing, via the at least one processor, a data fusion process based on the classified and localized lane data, thereby producing fused lane feature data. The method includes controlling, via the at least one processor, the vehicle based, in part, on the fused lane feature data.

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