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    METHOD AND SYSTEM OF INCONSISTENT MAP DATA RECONCILIATION IN CONNECTED VEHICLES
    141.
    发明公开
    METHOD AND SYSTEM OF INCONSISTENT MAP DATA RECONCILIATION IN CONNECTED VEHICLES 审中-公开

    公开(公告)号：US20240219201A1

    公开(公告)日：2024-07-04

    申请号：US18149427

    申请日：2023-01-03

    Applicant: GM Global Technology Operations LLC

    Inventor： Fan Bai ,  Mason David Gemar ,  Vivek Vijaya Kumar ,  Joon Hwang ,  Bo Yu

    IPC: G01C21/00 ,  G06V20/56

    CPC classification number: G01C21/3859 ,  G01C21/3841 ,  G06V20/56

    Abstract: A method and system of map data reconciliation in connected vehicles. The method includes processing information to detect a same object; determining an identification of the same object; determining a confidence level of the identification of the same object; determining a probability mass function (PMF) of the identification of the same object using Dempster-Shafer Theory; determining a most probably identification of the same object based on the PMF; and communicating the most probably identification of the same object to a vehicle to implement a vehicle function. The system includes a conflict resolution module configured to receive confidence levels from multiple vehicles detecting the same object and to determine a reconciled identification of the same object using an algorithm based on Dempster-Shafer Theory, and a weight calculation module configured to apply a weight function based on a scene context weight function and on a historical score of the vehicles.

    Quality framework for vehicle application data networks
    142.
    发明授权
    Quality framework for vehicle application data networks 有权

    公开(公告)号：US12003565B1

    公开(公告)日：2024-06-04

    申请号：US18065135

    申请日：2022-12-13

    Applicant: GM Global Technology Operations LLC

    Inventor： Fan Bai ,  Lakshmi V. Thanayankizil ,  John Sergakis

    IPC: H04L65/80 ,  H04W72/54

    CPC classification number: H04L65/80 ,  H04W72/54

    Abstract: A system for providing quality of experience (QoE) metrics to incoming application data transferred to a vehicle includes a cloud-based dynamically updatable application QoE policy engine adapted to establish QoE metrics and prioritization criteria for incoming application data and to assign QoE policies to the vehicle, and a data controller within the vehicle adapted to receive QoE policies from the application QoE policy engine and enforce the QoE policies assigned, wherein the data controller is adapted to enforce the QoE policies assigned with an enhanced distributed control access (EDCA) algorithm adapted to prioritize incoming application data traffic received via IEEE 802.11 standard supported wireless LAN technology channels and with a resource block allocation and network slicing (RAN) algorithm adapted to prioritize incoming application data traffic received via cellular channels.

    DYNAMIC DATA BROKER SERVICES
    143.
    发明公开
    DYNAMIC DATA BROKER SERVICES 审中-公开

    公开(公告)号：US20240176853A1

    公开(公告)日：2024-05-30

    申请号：US18060022

    申请日：2022-11-30

    Applicant: GM Global Technology Operations LLC

    Inventor： Donald K. Grimm ,  Amin Abdossalami ,  Fan Bai ,  Derek Beaulieu Ancrum

    IPC: H04W12/02 ,  G06F16/9537 ,  G06F21/62

    CPC classification number: H04W12/02 ,  G06F16/9537 ,  G06F21/6245

    Abstract: A system for providing dynamic data broker services includes a plurality of participant vehicle having onboard sensors adapted to collect data and send such data to the system via a wireless communication network, a database adapted to store the data received from the plurality of participant vehicles, an application program interface adapted to receive at least one request for data from at least one user, a supervisory engine adapted to consolidate and prioritize the at least one request for data, the system further adapted to identify data that is relevant to the at least one request within the data stored within the database, tailor a response to the at least one request for data based on privacy considerations, spatial considerations and temporal considerations, and send the response to the at least one user.

    SYSTEM AND METHOD FOR DIAGNOSING SENSOR PERFORMANCE OF AN ULTRA WIDE BAND SENSOR LOCALIZATION
    144.
    发明公开
    SYSTEM AND METHOD FOR DIAGNOSING SENSOR PERFORMANCE OF AN ULTRA WIDE BAND SENSOR LOCALIZATION 审中-公开

    公开(公告)号：US20240172164A1

    公开(公告)日：2024-05-23

    申请号：US18049902

    申请日：2022-10-26

    Applicant: GM Global Technology Operations LLC

    Inventor： Jinzhu Chen ,  Zijun Han ,  Fan Bai ,  Aaron Adler ,  John Sergakis

    IPC: H04W64/00 ,  H04B1/69

    CPC classification number: H04W64/00 ,  H04B1/69

    Abstract: Systems and methods for diagnosing sensor performance of a UWB sensor localization are provided. The system comprises a UWB tag, at least four UWB anchors, and a gateway. The gateway comprises an ECU arranged to receive sensor signals from the UWB anchors. The ECU comprises a preprocessing module arranged to align the sensor signals defining aligned data and is arranged to determine intersections of the aligned data defining points of intersections. The system further comprises a clustering module arranged to cluster the points of intersections defining at least one cluster of points of the UWB anchors to calculate a clustering quality and a clustering variance of each of the at least one cluster. The ECU is arranged to find a clustering contribution of each anchor defining a first contribution low of one of the anchors and is arranged to determine an erratic anchor based the first contribution low.

    SYSTEM AND METHOD OF REDUCING GPS NOISE AND CORRECTING VEHICLE GPS TRAJECTORY FOR A HIGH-DEFINITION MAP
    145.
    发明公开
    SYSTEM AND METHOD OF REDUCING GPS NOISE AND CORRECTING VEHICLE GPS TRAJECTORY FOR A HIGH-DEFINITION MAP 审中-公开

    公开(公告)号：US20240125616A1

    公开(公告)日：2024-04-18

    申请号：US18045306

    申请日：2022-10-10

    Applicant: GM Global Technology Operations LLC

    Inventor： Bo Yu ,  Joon Hwang ,  Carl P. Darukhanavala ,  Shu Chen ,  Vivek Vijaya Kumar ,  Donald K. Grimm ,  Fan Bai

    IPC: G01C21/00

    CPC classification number: G01C21/3819 ,  G01C21/387 ,  G01C21/3889

    Abstract: A method of correcting a GPS vehicle trajectory of a vehicle on a roadway for a high-definition map is provided. The method comprises receiving first bitmap data from a first sensor of a first vehicle to create a plurality of first multi-layer bitmaps for the first vehicle using the first bitmap data and receiving second bitmap data from a plurality of second sensors of a plurality of second vehicles to create a plurality of second multi-layer bitmaps. The method further comprises creating first probability density bitmaps and an overall probability density bitmap with a probability density estimation, and matching an image template from each of the first probability density bitmaps with the overall probability density bitmap to define match results. The method further comprises combining the match results to define combined utility values and determining the maximal utility value with the combined utility values.

    METHOD OF CREATING 3D VOLUMETRIC SCENE
    150.
    发明申请
    METHOD OF CREATING 3D VOLUMETRIC SCENE 有权

    公开(公告)号：US20230140324A1

    公开(公告)日：2023-05-04

    申请号：US17515955

    申请日：2021-11-01

    Applicant: GM Global Technology Operations LLC

    Inventor： Christina Shin ,  Chuan Li ,  Fan Bai ,  Ramesh Govindan

    IPC: H04N19/597 ,  B60R1/00 ,  H04N19/96 ,  H04N19/60

    Abstract: A system for creating a 3D volumetric scene includes a first visual sensor positioned onboard a first vehicle to obtain first visual images, first motion sensors positioned onboard the first vehicle to obtain first motion data, a first computer processor positioned onboard the first vehicle and adapted to generate a first scene point cloud, a second visual sensor positioned onboard a second vehicle to obtain second visual images, second motion sensors positioned onboard the second vehicle to obtain second motion data, and a second computer processor positioned onboard the second vehicle and adapted to generate a second scene point cloud, the first and second computer processors further adapted to send the first and second scene point clouds to a third computer processor, and the third computer processor located within an edge/cloud infrastructure and adapted to create a stitched point cloud.

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