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    DETECTING THREE-DIMENSIONAL STRUCTURE MODELS AT RUNTIME IN VEHICLES
    1.
    发明申请
    DETECTING THREE-DIMENSIONAL STRUCTURE MODELS AT RUNTIME IN VEHICLES 有权

    公开(公告)号：US20220155451A1

    公开(公告)日：2022-05-19

    申请号：US16951502

    申请日：2020-11-18

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Brent N. Bacchus ,  Rakesh Kumar ,  Keun Jae Kim

    IPC: G01S17/89 ,  G01S17/86 ,  G01S17/931 ,  G06K9/00 ,  G06N3/02

    Abstract: A computer-implemented method for detecting one or more three-dimensional structures in a proximity of a vehicle at runtime includes generating, by a processor, a birds-eye-view (BEV) camera image of the proximity of the vehicle, the BEV camera image comprising two-dimensional coordinates of one or more structures in the proximity. The method further includes generating, by the processor, a BEV height image of the proximity of the vehicle, the BEV height image providing height of the one or more structures in the proximity. The method further includes detecting one or more edges of the three-dimensional structures based on the BEV camera image and the BEV height image. The method further includes generating models of the three-dimensional structures by plane-fitting based on the edges of the one or more three-dimensional structures. The method further includes reconfiguring a navigation system receiver based on the models of the three-dimensional structures.

    METHOD AND SYSTEM FOR DETERMINING AN OBJECT LOCATION BY USING MAP INFORMATION
    2.
    发明申请
    METHOD AND SYSTEM FOR DETERMINING AN OBJECT LOCATION BY USING MAP INFORMATION 审中-公开

    公开(公告)号：US20190354781A1

    公开(公告)日：2019-11-21

    申请号：US15982186

    申请日：2018-05-17

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Wei Tong ,  Yang Yang ,  Brent N. Bacchus ,  Shuqing Zeng

    IPC: G06K9/00 ,  G01C21/30 ,  G05D1/02

    Abstract: A system and method for determining an object location by using map information is disclosed. The method includes receiving, by a controller, an image data of a scene. An object is located within the scene. The method also includes determining, by the controller, a location of the object based on the image data of the scene. The method can also include receiving, by the controller, a map information. The map information includes at least one path information. The method also includes determining an association between the location of the object based on the image data and the map information of the scene. The method also includes determining a 3-dimensional location of the object based on the determined association.

    METHOD AND SYSTEM FOR LEARNING A NEURAL NETWORK TO DETERMINE A POSE OF A VEHICLE IN AN ENVIRONMENT
    5.
    发明申请
    METHOD AND SYSTEM FOR LEARNING A NEURAL NETWORK TO DETERMINE A POSE OF A VEHICLE IN AN ENVIRONMENT 有权

    公开(公告)号：US20220230353A1

    公开(公告)日：2022-07-21

    申请号：US17153874

    申请日：2021-01-20

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Han UL Lee ,  Brent N. Bacchus

    IPC: G06T7/73 ,  G06N3/08

    Abstract: Methods and systems are provided for learning a neural network and to determine a pose of a vehicle in an environment. A first processor performs a first feature extraction on sensor-based image data to provide a first feature map. The first processor also performs a second feature extraction on the aerial image data to provide a second feature map. Both feature maps are correlated to provide a correlation result. The first processor learns a neural network using the correlation result and ground-truth data, wherein each of the first feature extraction and the second feature is learned to extract a portion of features from the respective image data. A geo-tagged second feature map can then be retrieved by an on-board processor of the vehicle which, along with on-board processed sensor-based data by the network trained by the first processor, determines the pose of the vehicle.

    METHODS AND SYSTEMS FOR CORRECTING SENSOR INFORMATION
    8.
    发明申请
    METHODS AND SYSTEMS FOR CORRECTING SENSOR INFORMATION 审中-公开

    公开(公告)号：US20200311455A1

    公开(公告)日：2020-10-01

    申请号：US16366927

    申请日：2019-03-27

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Brent N. Bacchus ,  Wei Tong ,  Upali P. Mudalige

    IPC: G06K9/32 ,  G06K9/00 ,  G06T7/73

    Abstract: Methods and apparatus are provided for controlling a vehicle. In one embodiment, a method includes: receiving, by a processor, object detection data that indicates a plurality of objects detected in an environment of the vehicle; computing, by the processor, a correction value associated with at least one of range, roll, and pitch of the plurality of objects based on a likelihood function; applying, by the processor, the correction value to the object detection data to obtain corrected object detection data; and controlling, by the processor, the vehicle based on the corrected object detection data.

    REMOTE VEHICLE SPATIAL AWARENESS NOTIFICATION SYSTEM
    9.
    发明申请
    REMOTE VEHICLE SPATIAL AWARENESS NOTIFICATION SYSTEM 审中-公开

    公开(公告)号：US20190337451A1

    公开(公告)日：2019-11-07

    申请号：US15969292

    申请日：2018-05-02

    Applicant: GM Global Technology Operations LLC

    Inventor： Brent N. Bacchus ,  Lawrence A. Bush ,  Shifang Li ,  Evripidis Paraskevas ,  Prakash Mohan Peranandam ,  Yuchen Zhou

    IPC: B60Q9/00

    Abstract: Technical solutions are described herein for providing driver notification in a vehicle. An example system includes one or more sensors that measure one or more attributes of a remote object in a predetermined vicinity of the vehicle. The system further includes an output device that provides a notification to a driver. The system further includes a remote object monitoring system that generates a driver notification to be provided via the output device based on the attributes of the remote object. Generating the driver notification includes determining a recklessness score for the remote object based on the attributes of the remote object. Generating the driver notification further includes, in response to the recklessness score exceeding a predetermined threshold, generating the driver notification that comprises a directional information that provides a spatial awareness of a location of the remote object in relation to the vehicle.

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