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    GENERATING WORST-CASE CONSTRAINTS FOR AUTONOMOUS VEHICLE MOTION PLANNING
    1.
    发明公开
    GENERATING WORST-CASE CONSTRAINTS FOR AUTONOMOUS VEHICLE MOTION PLANNING 审中-公开

    公开(公告)号：US20240253663A1

    公开(公告)日：2024-08-01

    申请号：US18120325

    申请日：2023-03-10

    Applicant: Motional AD LLC

    Inventor： Nathan Spielberg ,  Alexander Brown ,  Kevin C. Gall ,  Georgios Mamakoukas ,  Jesse Adam Miller ,  Boaz Cornelis Floor ,  Thomas Koelbaek Jespersen

    IPC: B60W60/00 ,  B60W30/09

    CPC classification number: B60W60/0015 ,  B60W30/09

    Abstract: Disclosed is an improved motion planner that safely and proactively considers worst-case agent behavior by generating a worst-case homotopy for every nominal homotopy. In some embodiments, a method comprises: generating a first set of maneuvers to be performed by a vehicle in a scenario, the first set of maneuvers based on an expected behavior of at least one agent proximate to the vehicle; generating a second set of maneuvers to be performed by the vehicle, the second set of maneuvers based on worst case behavior of the at least one agent proximate to the vehicle; generating a set of candidate trajectories based on the first set of maneuvers and the second set of maneuvers; selecting a trajectory from the set of candidate trajectories; and generating, with the at least one processor, at least one control signal to operate the vehicle based on the selected trajectory.

    RIDE EXPERIENCE ENHANCEMENTS WITH EXTERNAL SERVICES
    2.
    发明公开
    RIDE EXPERIENCE ENHANCEMENTS WITH EXTERNAL SERVICES 审中-公开

    公开(公告)号：US20240094012A1

    公开(公告)日：2024-03-21

    申请号：US17947059

    申请日：2022-09-16

    Applicant: Motional AD LLC

    Inventor： Bence Cserna ,  Alexander Brown ,  Kevin C. Gall

    IPC: G01C21/34 ,  G06Q10/04

    CPC classification number: G01C21/3415 ,  G06Q10/04 ,  G06Q50/30

    Abstract: Provided are methods for ride experience enhancements with external services, which can include receiving a request for transportation of a passenger to a service provider, and determining route information corresponding to the request. Some methods described also include providing service information associated with the service provider to the passenger, and receiving at least one requested service from the passenger based on the provided service information. Some methods described also include transmitting the at least one requested service and at least a portion of the route information to the service provider. Systems and computer program products are also provided.

    Errand service associated with ride request
    8.
    发明授权
    Errand service associated with ride request 有权

    公开(公告)号：US12228412B2

    公开(公告)日：2025-02-18

    申请号：US17878770

    申请日：2022-08-01

    Applicant: Motional AD LLC

    Inventor： Kevin C. Gall ,  Bence Cserna ,  Alexander Brown

    IPC: G01C21/34 ,  G06Q50/40

    Abstract: Provided are methods for completing an errand request prior to fulfilling a ride request. Some methods described include obtaining a ride request from a passenger; obtaining an errand request from the passenger, wherein the errand request comprises performing an activity at a third location prior to pickup of the passenger at the first location; planning a route comprising the third location, the first location, and the second location; navigating the planned route to complete the errand request from the passenger at the third location; and navigating the planned route to transport the passenger from the first location to the second location upon completion of the errand request. Systems and computer program products are also provided.

    ERRAND SERVICE ASSOCIATED WITH RIDE REQUEST
    9.
    发明公开
    ERRAND SERVICE ASSOCIATED WITH RIDE REQUEST 审中-公开

    公开(公告)号：US20240035830A1

    公开(公告)日：2024-02-01

    申请号：US17878770

    申请日：2022-08-01

    Applicant: Motional AD LLC

    Inventor： Kevin C. Gall ,  Bence Cserna ,  Alexander Brown

    IPC: G01C21/34 ,  G06Q50/30

    CPC classification number: G01C21/343 ,  G06Q50/30 ,  G01C21/3438

    Abstract: Provided are methods for completing an errand request prior to fulfilling a ride request. Some methods described include obtaining a ride request from a passenger; obtaining an errand request from the passenger, wherein the errand request comprises performing an activity at a third location prior to pickup of the passenger at the first location; planning a route comprising the third location, the first location, and the second location; navigating the planned route to complete the errand request from the passenger at the third location; and navigating the planned route to transport the passenger from the first location to the second location upon completion of the errand request. Systems and computer program products are also provided.

    PATH GENERATION BASED ON PREDICTED ACTIONS
    10.
    发明公开
    PATH GENERATION BASED ON PREDICTED ACTIONS 审中-公开

    公开(公告)号：US20240025444A1

    公开(公告)日：2024-01-25

    申请号：US17814509

    申请日：2022-07-22

    Applicant: Motional AD LLC

    Inventor： Sammy Omari ,  Kevin C. Gall ,  Juraj Kabzan ,  Hans Andersen ,  Bence Cserna ,  Scott Drew Pendleton

    IPC: B60W60/00 ,  G06V20/58 ,  G06V20/70

    CPC classification number: B60W60/0015 ,  G06V20/58 ,  G06V20/70 ,  G06V2201/08 ,  G06V10/82

    Abstract: Provided are methods and systems for semantic behavior filtering for prediction improvement. A method for operating an autonomous vehicle is provided. The method includes obtaining, by at least one processor, semantic image data associated with an environment in which an autonomous vehicle is operating. The method includes determining, by the at least one processor a set of agents in the environment based on the semantic image data. The method includes determining, by the at least one processor, a set of secondary agents from the set of agents based on a relative location of a respective secondary agent to a respective object and a set of object semantic behavior data associated with the respective object. The method includes determining, from the set of agents, a set of primary agents other than secondary agents. The method includes generating a path for the autonomous vehicle based on the set of primary agents.

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