Method for image analysis
    52.
    发明授权

    公开(公告)号:US11748446B2

    公开(公告)日:2023-09-05

    申请号:US17720645

    申请日:2022-04-14

    CPC classification number: G06F18/214

    Abstract: A method and system for synthetic data generation and analysis includes generating a synthetic dataset. A set of parameters is determined and scenarios are generated from the parameters that represent three-dimensional scenes. Synthetic images are rendered for the scenarios. A synthetic dataset may be formed to have a controlled variation in attributes of synthetic images over a synthetic dataset. The synthetic dataset may be used for training or evaluating a machine learning model.

    Systems and Methods for Pareto Domination-Based Learning

    公开(公告)号:US20230227061A1

    公开(公告)日:2023-07-20

    申请号:US17576553

    申请日:2022-01-14

    CPC classification number: B60W60/001 G05B13/0265 B60W50/00 B60W2050/0022

    Abstract: Techniques for improving the performance of an autonomous vehicle (AV) are described herein. A system can determine a plan for the AV in a driving scenario that optimizes an initial cost function of a control algorithm of the AV. The system can obtain data describing an observed human driving path in the driving scenario. Additionally, the system can determine for each cost dimension in the plurality of cost dimensions, a quantity that compares the estimated cost to the observed cost of the observed human driving path. Moreover, the system can determine a function of a sum of the quantities determined for each cost dimension in the plurality of cost dimensions. Subsequently, the system can use an optimization algorithm to adjust one or more weights of the plurality of weights applied to the plurality of cost dimensions to optimize the function of the sum of the quantities.

    LIDAR SIMULATION SYSTEM
    54.
    发明申请

    公开(公告)号:US20230080540A1

    公开(公告)日:2023-03-16

    申请号:US17476784

    申请日:2021-09-16

    Abstract: Simulating data received by a detection and ranging sensor including determining a first set of sample points on a surface of a simulated detector, the first set of sample points including a first sample point at a first location on the detector and a second sample point at a second location on the detector; generating a first ray associated with the first sample point, the first ray representing electromagnetic radiation reflected at a first point of intersection within a scene and incident on the first sample point on the surface of the detector; generating a second ray associated with the second sample point; the second ray representing electromagnetic radiation reflected at a second point of intersection within the scene and incident on the second sample point on the surface of the detector; and generating a ray-based data representation based on the first ray and the second ray.

    Silicon photonics device for LIDAR sensor and method for fabrication

    公开(公告)号:US11513289B1

    公开(公告)日:2022-11-29

    申请号:US17535024

    申请日:2021-11-24

    Abstract: A structure of a silicon photonics device for LIDAR includes a first insulating structure and a second insulating structure disposed above one or more etched silicon structures overlying a substrate member. A metal layer is disposed above the first insulating structure without a prior deposition of a diffusion barrier and adhesion layer. A thin insulating structure is disposed above the second insulating structure. A first configuration of the metal layer, the first insulating structure and the one or more etched silicon structures forms a free-space coupler. A second configuration of the thin insulating structure above the second insulating structure forms an edge coupler.

    Map-Anchored Object Detection
    56.
    发明申请

    公开(公告)号:US20250139825A1

    公开(公告)日:2025-05-01

    申请号:US19007220

    申请日:2024-12-31

    Inventor: Louis Foucard

    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

    公开(公告)号:US20250118948A1

    公开(公告)日:2025-04-10

    申请号:US18985629

    申请日:2024-12-18

    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

    公开(公告)号:US12241757B1

    公开(公告)日:2025-03-04

    申请号:US17850340

    申请日:2022-06-27

    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.

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