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    Map-Anchored Object Detection
    1.
    发明申请
    Map-Anchored Object Detection 有权

    公开(公告)号：US20250139825A1

    公开(公告)日：2025-05-01

    申请号：US19007220

    申请日：2024-12-31

    Applicant: Aurora Operations, Inc.

    Inventor： Louis Foucard

    IPC: G06T7/73 ,  B60W60/00

    Abstract: An example method includes (a) obtaining sensor data descriptive of an environment of an autonomous vehicle; (b) obtaining a plurality of travel way markers from map data descriptive of the environment; (c) determining, using a machine-learned object detection model and based on the sensor data, an association between one or more travel way markers of the plurality of travel way markers and an object in the environment; and (d) generating, using the machine-learned object detection model, an offset with respect to the one or more travel way markers of a spatial region of the environment associated with the object.

    Silicon-Assisted Packaging of High Power Integrated SOA Array
    3.
    发明申请
    Silicon-Assisted Packaging of High Power Integrated SOA Array 有权

    公开(公告)号：US20250118948A1

    公开(公告)日：2025-04-10

    申请号：US18985629

    申请日：2024-12-18

    Applicant: Aurora Operations, Inc.

    Inventor： Andrew Steil Michaels ,  Lei Wang ,  Sen Lin

    IPC: G01S7/481 ,  G01S17/32 ,  G01S17/931 ,  H01S5/40

    Abstract: A photonic integrated circuit (PIC) assembly comprising a semiconductor optical amplifier (SOA) array and a U-turn chip. The SOA array includes an input SOA and a plurality of SOAs. The input SOA and the plurality of SOAs are arranged parallel to one another. The U-turn chip includes an optical splitter and a waveguide assembly. The optical splitter is configured to receive amplified input light propagating in a first direction from the input SOA, and divide the amplified light into beams. The waveguide assembly guides the beams to a corresponding SOA of the plurality of SOAs, and adjusts a direction of prorogation of each of the guided beams to be substantially parallel to a second direction that is substantially opposite the first direction.

    Generation of weighted map data for autonomous vehicle localization
    5.
    发明授权
    Generation of weighted map data for autonomous vehicle localization 有权

    公开(公告)号：US12241757B1

    公开(公告)日：2025-03-04

    申请号：US17850340

    申请日：2022-06-27

    Applicant: Aurora Operations, Inc.

    Inventor： Greg Coombe ,  Yekeun Jeong

    IPC: G01C21/00 ,  B60W60/00

    Abstract: Map data describing various geometric elements in a map used in autonomous vehicle localization is selectively weighted to vary the relative contributions of different geometric elements to an alignment operation. By doing so, the alignment operation may be biased to emphasize geometric elements associated with objects in an environment that are relatively more stable, e.g., roadways, walls, buildings, etc., over objects that are relatively less stable, e.g., vegetation, thereby in many instances improving alignment operation performance and/or availability.

    Autonomous Vehicle Testing Systems and Methods
    8.
    发明申请
    Autonomous Vehicle Testing Systems and Methods 有权

    公开(公告)号：US20250053493A1

    公开(公告)日：2025-02-13

    申请号：US18932304

    申请日：2024-10-30

    Applicant: Aurora Operations, Inc.

    Inventor： Charly Mario Walther ,  Nathan Steven Appelson ,  Jeffrey Allen Howell

    IPC: G06F11/34 ,  G06F11/30

    Abstract: Systems and methods for autonomous vehicle testing are provided. In one example embodiment, a computer-implemented method includes obtaining, by a computing system, data indicative of a test of an autonomous vehicle computing system. The method can include determining, by the computing system, one or more autonomous vehicle capabilities that are tested by the test. The method includes determining, by the computing system, a testing scenario that corresponds to the test. The testing scenario can generated at least in part using real-world data. The method includes associating, by the computing system, the data indicative of the test with data indicative of the one or more autonomous vehicle capabilities that are tested by the test and data indicative of the testing scenario. The method includes storing such associated data in in an accessible memory.

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