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    LANE LINE MAP CONSTRUCTION USING PROBABILITY DENSITY BITMAPS
    13.
    发明公开
    LANE LINE MAP CONSTRUCTION USING PROBABILITY DENSITY BITMAPS 审中-公开

    公开(公告)号：US20240068836A1

    公开(公告)日：2024-02-29

    申请号：US17821898

    申请日：2022-08-24

    Applicant: GM Global Technology Operations LLC

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

    IPC: G01C21/00

    CPC classification number: G01C21/3822 ,  G01C21/3841 ,  G01C21/3878

    Abstract: A method includes receiving sensor data from a plurality of sensors of a plurality of vehicles. The sensor data includes vehicle GPS data and sensed lane line data of the roadway. The method further includes creating a plurality of multi-layer bitmaps for each of the plurality of vehicles using the sensor data, fusing the plurality of the multi-layer bitmaps of each of the plurality of vehicles to create a fused multi-layer bitmap, creating a plurality of multi-layer probability density bitmaps using the fused multi-layer bitmap, extracting lane line data from the plurality of multi-layer probability density bitmaps, and creating the high-definition (HD) map of the roadway using the multi-layer probability density bitmaps and the lane line data extracted from the plurality of multi-layer probability density bitmaps.

    TRAFFIC LIGHT INDICATION SYSTEM WITH SUPPRESSED NOTIFICATION FOR A VEHICLE
    14.
    发明公开
    TRAFFIC LIGHT INDICATION SYSTEM WITH SUPPRESSED NOTIFICATION FOR A VEHICLE 审中-公开

    公开(公告)号：US20240062652A1

    公开(公告)日：2024-02-22

    申请号：US17820307

    申请日：2022-08-17

    Applicant: GM Global Technology Operations LLC

    Inventor： Vivek Vijaya Kumar ,  Mohammad Naserian ,  Dustin Howard Malcom Smith

    IPC: G08G1/09 ,  G08G1/04 ,  G08G1/16

    CPC classification number: G08G1/091 ,  G08G1/04 ,  G08G1/16

    Abstract: A vehicle includes a traffic light indication system (system) with one or more input devices for generating a status input signal associated with a status of a traffic light. The input devices further generate an overriding input signal associated with a hazardous driving condition. The system further includes a notification device for providing a traffic light notification to the user. The system further includes a computer having a processor and a non-transitory computer readable storage medium (CRM) storing instructions. The processor is programmed to generate an actuation signal based on the status input signal. The processor is further programmed to refrain from generating the actuation signal, in response to the processor determining the predicted collision based on the status input signal and the overriding input signal. The notification device provides the traffic light notification to the user, in response to the notification device receiving the actuation signal.

    TRAFFIC SIGNAL MANAGEMENT FOR AUTONOMOUS VEHICLE OPERATION
    17.
    发明申请
    TRAFFIC SIGNAL MANAGEMENT FOR AUTONOMOUS VEHICLE OPERATION 有权

    公开(公告)号：US20210142658A1

    公开(公告)日：2021-05-13

    申请号：US16679791

    申请日：2019-11-11

    Applicant: GM Global Technology Operations LLC

    Inventor： Donald K. Grimm ,  Fan Bai ,  Bo Yu ,  Vivek Vijaya Kumar

    IPC: G08G1/01 ,  G06K9/00 ,  G08G1/07

    Abstract: Systems and methods to perform traffic signal management for operation of autonomous vehicles involve obtaining vehicle data from two or more vehicles at an intersection with one or more traffic lights. The vehicle data includes vehicle location, vehicle speed, and image information or images. A method includes determining at least one of three types of information about the one or more traffic lights based on the vehicle data. The three types of information include a location of the one or more traffic lights, a signal phase and timing (SPaT) of the one or more traffic lights, and a lane correspondence of the one or more traffic lights. The method also includes providing the at least one of the three types of information about the one or more traffic lights for the operation of autonomous vehicles.

    METHOD TO PRIORITIZE THE PROCESS OF RECEIVING FOR COOPERATIVE SENSOR SHARING OBJECTS
    18.
    发明申请
    METHOD TO PRIORITIZE THE PROCESS OF RECEIVING FOR COOPERATIVE SENSOR SHARING OBJECTS 审中-公开

    公开(公告)号：US20200278693A1

    公开(公告)日：2020-09-03

    申请号：US16288375

    申请日：2019-02-28

    Applicant: GM Global Technology Operations LLC

    Inventor： Vivek Vijaya Kumar ,  Hariharan Krishnan ,  Bo Yu

    IPC: G05D1/02 ,  G06K9/00 ,  G06K9/62 ,  H04W4/02 ,  H04W4/46

    Abstract: A method includes receiving object data, by a controller of a host vehicle, from a plurality of sources, the plurality of sources including remote objects and a sensor system of the host vehicle; identifying, by the controller of the host vehicle, a target object using the object data from the plurality of sources, the object data including a target-object data, and the target-object data is the object data that specifically pertains to the target object determining, by the controller, that the target-object data is available from more than one of the plurality of sources; and in response to determining that the target-object data is available from more than one of the plurality of sources, fusing, by the controller, the target-object data that is available from more than one of the plurality of sources to create a single dataset about the target object.

    Global positioning system bias detection and reduction
    20.
    发明授权
    Global positioning system bias detection and reduction 有权

    公开(公告)号：US12270918B2

    公开(公告)日：2025-04-08

    申请号：US17933895

    申请日：2022-09-21

    Applicant: GM Global Technology Operations LLC

    Inventor： Gui Chen ,  Shu Chen ,  Bo Yu ,  Joon Hwang ,  Carl P. Darukhanavala ,  Vivek Vijaya Kumar

    IPC: G01S19/39 ,  G01S19/40

    Abstract: A global positioning system (GPS)-bias detection and reduction system including a GPS-bias model having GPS statistical data creating a database representing data collected from a vehicle group having thousands or multiple thousands of vehicles saved in a database. At least one newly collected vehicle GPS data point is compared to the GPS statistical data to reduce negative effects of GPS-bias and to update the vehicle GPS-bias correction based on a previous GPS-bias model. A selected road node and a segment of a roadway have a map matching performed using a nearest service from a collection location of the GPS statistical data. A GPS-bias is calculated using a look-up of the database. An estimated horizontal position error (EHPE) defining a quality indicator is applied to distinguish a good quality GPS statistical data from a poor quality GPS statistical data.

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