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    Methods and systems for interpretating traffic signals and negotiating signalized intersections
    1.
    发明授权
    Methods and systems for interpretating traffic signals and negotiating signalized intersections 有权

    公开(公告)号：US11205343B2

    公开(公告)日：2021-12-21

    申请号：US16280152

    申请日：2019-02-20

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Lawrence A. Bush ,  Michael A. Losh ,  Aravindhan Mani

    IPC: G06K9/00 ,  G08G1/01

    Abstract: Systems and methods are provided for interpreting traffic information by a vehicle. In one embodiment, a method includes: receiving, by a processor, sensor data from one or more sensing devices of the vehicle, where the sensor data depicts a traffic device in an environment of the vehicle; receiving, by the processor, map data associated with the environment of the vehicle, where the map data includes traffic devices; matching, by the processor, the traffic device of the sensor data with a traffic device of the map data; determining, by the processor, a probability distribution of a traffic signal associated with the matched traffic devices based on a Hidden Markov model (HMM); and planning, by the processor, control of the vehicle based on the probability distribution.

    METHODS AND SYSTEMS FOR MAPPING AND LOCALIZATION FOR A VEHICLE
    2.
    发明申请
    METHODS AND SYSTEMS FOR MAPPING AND LOCALIZATION FOR A VEHICLE 审中-公开

    公开(公告)号：US20200318976A1

    公开(公告)日：2020-10-08

    申请号：US16373663

    申请日：2019-04-03

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Lawrence A. Bush ,  Michael A. Losh ,  Brent N. Bacchus ,  Upali P. Mudalige

    IPC: G01C21/32 ,  G05D1/02

    Abstract: Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes: receiving, by a processor, landmark data obtained from an image sensor of the vehicle; fusing, by the processor, the landmark data with vehicle pose data to produce fused lane data, wherein the fusing is based on a Kalman filter; retrieving, by the processor, map data from a lane map based on the vehicle pose data; selectively updating, by the processor, the lane map based on a change in the fused lane data from the map data; and controlling, by the processor, the vehicle based on the updated lane map.

    METHODS AND SYSTEMS FOR INTERPRETATING TRAFFIC SIGNALS AND NEGOTIATING SIGNALIZED INTERSECTIONS
    3.
    发明申请
    METHODS AND SYSTEMS FOR INTERPRETATING TRAFFIC SIGNALS AND NEGOTIATING SIGNALIZED INTERSECTIONS 审中-公开

    公开(公告)号：US20200265709A1

    公开(公告)日：2020-08-20

    申请号：US16280152

    申请日：2019-02-20

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Lawrence A. Bush ,  Michael A. Losh ,  Aravindhan Mani

    IPC: G08G1/01 ,  G06K9/00

    Abstract: Systems and methods are provided for interpreting traffic information by a vehicle. In one embodiment, a method includes: receiving, by a processor, sensor data from one or more sensing devices of the vehicle, where the sensor data depicts a traffic device in an environment of the vehicle; receiving, by the processor, map data associated with the environment of the vehicle, where the map data includes traffic devices; matching, by the processor, the traffic device of the sensor data with a traffic device of the map data; determining, by the processor, a probability distribution of a traffic signal associated with the matched traffic devices based on a Hidden Markov model (HMM); and planning, by the processor, control of the vehicle based on the probability distribution.

    Combining heterogeneous types of maps
    7.
    发明授权
    Combining heterogeneous types of maps 有权

    公开(公告)号：US11307039B2

    公开(公告)日：2022-04-19

    申请号：US16439188

    申请日：2019-06-12

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Lawrence A. Bush ,  Michael A. Losh ,  Aravindhan Mani ,  Upali P. Mudalige

    IPC: G01C21/32 ,  G01C21/36

    Abstract: A system for generating a map includes a processing device configured to determine a provenance of each received map of a plurality of maps, parse each received map into objects of interest, and compare the objects of interest to identify one or more sets of objects representing a common feature. For each set of objects, the processing device is configured to select a subset of the set of objects based on the provenance associated with each object in the set of objects, and calculate a similarity metric for each object in the subset. The similarity metric is selected from an alignment between an object and a reference object in the subset, and/or a positional relationship between the object and the reference object. The processing device is configured to generate a common object representing the common feature based on the similarity metric, and generate a merged map including the common object.

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