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    ROAD BRIGHTNESS ROUTE PLANNING
    21.
    发明公开
    ROAD BRIGHTNESS ROUTE PLANNING 审中-公开

    公开(公告)号：US20230408266A1

    公开(公告)日：2023-12-21

    申请号：US17836217

    申请日：2022-06-09

    Applicant: GM Global Technology Operations LLC

    Inventor： Kamran Ali ,  Donald K. Grimm

    IPC: G01C21/34 ,  G01C21/36 ,  H04W4/40 ,  G06V10/60 ,  G06V10/25 ,  G06V10/80 ,  G06V20/56

    CPC classification number: G01C21/3415 ,  G01C21/3691 ,  G01C21/3461 ,  G01C21/3492 ,  G01C21/3602 ,  G06V20/56 ,  H04W4/40 ,  G06V10/60 ,  G06V10/25 ,  G06V10/80 ,  G01C21/3647

    Abstract: A system for providing route guidance based on road brightness metrics includes a primary vehicle having an on-board data processor, a driver interface in communication with the on-board data processor and adapted to allow a driver to interact with the on-board data processor, and a wireless communication module, a cloud-based data processor adapted to collect real-time road brightness data from the primary vehicle and a plurality of other vehicles and to store collected data and build a model of road brightness metrics, the cloud-based data processor further adapted to receive data related to a starting position and final destination, calculate brightness characteristics for a shortest path route and at least one viable alternate route between the starting point and the final destination, and present to a driver of the primary vehicle the at least one viable alternate route which satisfies pre-determined brightness preferences better than the shortest path route.

    SCAN MATCHING AND RADAR POSE ESTIMATOR FOR AN AUTONOMOUS VEHICLE BASED ON HYPER-LOCAL SUBMAPS
    24.
    发明申请
    SCAN MATCHING AND RADAR POSE ESTIMATOR FOR AN AUTONOMOUS VEHICLE BASED ON HYPER-LOCAL SUBMAPS 有权

    公开(公告)号：US20230126333A1

    公开(公告)日：2023-04-27

    申请号：US17511942

    申请日：2021-10-27

    Applicant: GM Global Technology Operations LLC

    Inventor： Kamran Ali ,  Wende Zhang ,  Fan Bai

    IPC: G01S13/931 ,  G01S13/89 ,  B60W60/00 ,  B60W50/00

    Abstract: A scan matching and radar pose estimator for determining a final radar pose for an autonomous vehicle includes an automated driving controller that is instructed to determine a hyper-local submap based on a predefined number of consecutive aggregated filtered data point cloud scans and associated pose estimates. The automated driving controller determines an initial estimated pose by aligning a latest aggregated filtered data point cloud scan with the most recent hyper-local submap based on an iterative closest point (ICP) alignment algorithm. The automated driving controller determines a pose graph based on the most recent hyper-local submap and neighboring radar point cloud scans, and executes a multi-view non-linear ICP algorithm to adjust initial estimated poses corresponding to the neighboring radar point cloud scans in a moving window fashion to determine a locally adjusted pose.

    ATTENTION-DRIVEN SYSTEM FOR ADAPTIVELY STREAMING VEHICLE SENSOR DATA TO EDGE COMPUTING AND CLOUD-BASED NETWORK DEVICES
    25.
    发明申请
    ATTENTION-DRIVEN SYSTEM FOR ADAPTIVELY STREAMING VEHICLE SENSOR DATA TO EDGE COMPUTING AND CLOUD-BASED NETWORK DEVICES 有权

    公开(公告)号：US20220253635A1

    公开(公告)日：2022-08-11

    申请号：US17190663

    申请日：2021-03-03

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Bo YU ,  Sycamore Zhang ,  Shuqing Zeng ,  Kamran Ali ,  Vivek Vijaya Kumar ,  Donald K. Grimm

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/32 ,  B60W60/00 ,  B60W30/08 ,  G06K9/68

    Abstract: An attention-driven streaming system includes an adaptive-streaming module and a transceiver. The adaptive-streaming module includes filters, a compression module, an attention-driven strategy module and a fusion module. The filters filter sensor data received from sensors of a vehicle. The compression module compresses the filtered sensor data to generate compressed data. The attention-driven strategy module generates feedforward information based on a state of the vehicle and a state of an environment of the vehicle to adjust a region of interest. The fusion module generates an adaptive streaming strategy to adaptively adjust operations of each of the filters. The transceiver streams the compressed data to at least one of an edge computing device or a cloud-based network device and in response receive feedback information and pipeline monitoring information. The fusion module generates the adaptive streaming strategy based on the feedforward information, the feedback information and the pipeline monitoring information.

    INFRASTRUCTURE-SUPPORTED PERCEPTION SYSTEM FOR CONNECTED VEHICLE APPLICATIONS
    26.
    发明公开
    INFRASTRUCTURE-SUPPORTED PERCEPTION SYSTEM FOR CONNECTED VEHICLE APPLICATIONS 审中-公开

    公开(公告)号：US20240338793A1

    公开(公告)日：2024-10-10

    申请号：US18297870

    申请日：2023-04-10

    Applicant: GM Global Technology Operations LLC

    Inventor： Kamran Ali ,  Bo Yu ,  Hariharan Krishnan ,  Fan Bai ,  Vivek Vijaya Kumar

    IPC: G06T3/40 ,  G06T7/20

    CPC classification number: G06T3/4053 ,  G06T3/4046 ,  G06T7/20 ,  G06T2207/10028 ,  G06T2207/10044 ,  G06T2207/20084 ,  G06T2207/30236

    Abstract: An infrastructure-supported perception system for connected vehicle applications includes one or more infrastructure perception sensors that capture perception data having a reduced resolution and a reduced frame rate. The reduced resolution includes a reduced number of pixels for a given frame when compared to a standard resolution and the reduced frame rate captures data at a lower rate when compared to a standard frame rate. The infrastructure-supported perception system includes one or more controllers that are part of a connected vehicle. The controllers of the connected vehicle are in wireless communication with the one or more infrastructure perception sensors and one or more servers, and the one or more servers are in wireless communication with the one or more infrastructure perception sensors. The controllers receive dynamic information regarding one or more detected objects in an environment surrounding the connected vehicle from the one or more servers.

    OBJECTION DETECTION SYSTEM DEFINING A DYNAMIC REGION OF INTEREST
    27.
    发明公开
    OBJECTION DETECTION SYSTEM DEFINING A DYNAMIC REGION OF INTEREST 审中-公开

    公开(公告)号：US20240303955A1

    公开(公告)日：2024-09-12

    申请号：US18180351

    申请日：2023-03-08

    Applicant: GM Global Technology Operations LLC

    Inventor： Kamran Ali

    IPC: G06V10/25 ,  G01S13/89 ,  G01S17/89 ,  G06V20/56 ,  G06V20/58

    CPC classification number: G06V10/25 ,  G01S13/89 ,  G01S17/89 ,  G06V20/58 ,  G06V20/588

    Abstract: An objection detection system for a vehicle includes one or more range sensors and one or more controllers in communication with the one or more range sensors. The one or more controllers execute instructions to instruct the one or more range sensors to emit a signal. The one or more range sensors receive a reflected signal from the environment surrounding the vehicle. The one or more controllers determine a position of the detected object based on the reflected signal and compare the position of the detected object with a dynamic region of interest (ROI). The one or more controllers determine the position of the detected object is outside of the dynamic ROI. In response to determining the position of the detected object is outside the dynamic ROI, the one or more controllers disregard the detected object for purposes of scene building.

    Filtering and aggregating detection points of a radar point cloud for an autonomous vehicle
    28.
    发明授权
    Filtering and aggregating detection points of a radar point cloud for an autonomous vehicle 有权

    公开(公告)号：US11977149B2

    公开(公告)日：2024-05-07

    申请号：US17511968

    申请日：2021-10-27

    Applicant: GM Global Technology Operations LLC

    Inventor： Kamran Ali ,  Wende Zhang ,  Fan Bai

    IPC: G01S7/40 ,  B60W60/00 ,  G01S7/298 ,  G01S13/89

    CPC classification number: G01S13/89 ,  B60W60/001 ,  G01S7/298 ,  G01S7/40 ,  B60W2420/408

    Abstract: A scan aggregator and filter for an autonomous vehicle includes a plurality of radar sensors, where each radar sensor performs a plurality of individual scans of a surrounding environment to obtain data in the form of a radar point cloud including a plurality of detection points. The scan aggregator and filter also includes an automated driving controller in electronic communication with the plurality of radar sensors. The automated driving controller is instructed to filter each of the individual scans to define a spatial region of interest and to remove the detection points of the radar point cloud that represent moving objects based on a first outlier-robust model estimation algorithm. The automated driving controller aggregates a predefined number of individual scans together based on a motion compensated aggregation technique to create an aggregated data scan and applies a plurality of density-based clustering algorithms to filter the aggregated data scan.

    Occupant detection system for a vehicle including a multi-band transceiver
    29.
    发明授权
    Occupant detection system for a vehicle including a multi-band transceiver 有权

    公开(公告)号：US11956046B2

    公开(公告)日：2024-04-09

    申请号：US17699715

    申请日：2022-03-21

    Applicant: GM Global Technology Operations LLC

    Inventor： Kamran Ali ,  Mohammad Naserian ,  Lakshmi V. Thanayankizil ,  Bhargavi Chandrakumar ,  Fan Bai

    IPC: H04B7/06 ,  B60W40/08 ,  H04B1/00

    CPC classification number: H04B7/0626 ,  B60W40/08 ,  H04B1/005 ,  B60W2040/0881

    Abstract: An occupant detection system for an interior cabin area of a vehicle includes one or more signal conversion devices including conversion circuitry and a wireless control module including a multi-band transceiver having two or more transceivers. The wireless control module executes instructions to continuously send, by a first transceiver, signals on a first frequency band. The wireless control module executes instructions to receive, by a second transceiver, signals on a second frequency band from a signal conversion device. The wireless control module compares original training symbols from the signals on the first frequency band with training symbols from the signals on the second frequency band to determine a change in value of in one or more channel state information (CSI) parameters, and determines one or more occupants are present within the interior cabin area of the vehicle based on the change in one or more CSI parameters.

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