中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

23 records (took 0.018 seconds)

    EFFICIENT SEARCH FOR DATA AUGMENTATION POLICIES
    12.
    发明公开
    EFFICIENT SEARCH FOR DATA AUGMENTATION POLICIES 审中-公开

    公开(公告)号：US20240232647A9

    公开(公告)日：2024-07-11

    申请号：US18492646

    申请日：2023-10-23

    Applicant: Waymo LLC

    Inventor： Zhaoqi Leng ,  Guowang Li ,  Chenxi Liu ,  Pei Sun ,  Tong He ,  Dragomir Anguelov ,  Mingxing Tan

    IPC: G06N3/0985

    CPC classification number: G06N3/0985

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model on training data. In one aspect, one of the methods include: obtaining a training data set comprising a plurality of training inputs; obtaining data defining an original search space of a plurality of candidate data augmentation policies; generating, from the original search space, a compact search space that has one or more global hyperparameters; and training the machine learning model on the training data using one or more final data augmentation policies generated from the compact search space.

    EFFICIENT SEARCH FOR DATA AUGMENTATION POLICIES
    13.
    发明公开
    EFFICIENT SEARCH FOR DATA AUGMENTATION POLICIES 审中-公开

    公开(公告)号：US20240135195A1

    公开(公告)日：2024-04-25

    申请号：US18492646

    申请日：2023-10-22

    Applicant: Waymo LLC

    Inventor： Zhaoqi Leng ,  Guowang Li ,  Chenxi Liu ,  Pei Sun ,  Tong He ,  Dragomir Anguelov ,  Mingxing Tan

    IPC: G06N3/0985

    CPC classification number: G06N3/0985

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model on training data. In one aspect, one of the methods include: obtaining a training data set comprising a plurality of training inputs; obtaining data defining an original search space of a plurality of candidate data augmentation policies; generating, from the original search space, a compact search space that has one or more global hyperparameters; and training the machine learning model on the training data using one or more final data augmentation policies generated from the compact search space.

    OBJECT-CENTRIC THREE-DIMENSIONAL AUTO LABELING OF POINT CLOUD DATA
    14.
    发明申请
    OBJECT-CENTRIC THREE-DIMENSIONAL AUTO LABELING OF POINT CLOUD DATA 有权

    公开(公告)号：US20220058818A1

    公开(公告)日：2022-02-24

    申请号：US17407795

    申请日：2021-08-20

    Applicant: Waymo LLC

    Inventor： Ruizhongtai Qi ,  Yin Zhou ,  Dragomir Anguelov ,  Pei Sun

    IPC: G06T7/521 ,  G06T7/20

    Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for performing three-dimensional auto-labeling on sensor data. The system obtains a sensor data segment that includes a temporal sequence of three-dimensional point clouds generated from sensor readings of an environment by one or more sensors. The system identifies, from the sensor data segment, (i) a plurality of object tracks that each corresponds to a different object in the environment and (ii) for each object track, respective initial three-dimensional regions in each of one or more of the point clouds in which the corresponding object appears. The system generates, for each object track, extracted object track data that includes at least the points in the respective initial three-dimensional regions for the object track. The system further generates, for each object track and from the extracted object track data for the object track, an auto labeling output that defines respective refined three-dimensional regions in each of the one or more point clouds.

    Controlling Vehicles Through Multi-Lane Turns
    15.
    发明申请
    Controlling Vehicles Through Multi-Lane Turns 有权

    公开(公告)号：US20250076879A1

    公开(公告)日：2025-03-06

    申请号：US18951839

    申请日：2024-11-19

    Applicant: Waymo LLC

    Inventor： Jared Stephen Russell ,  Jens-Steffen Ralf Gutmann ,  Pei Sun

    IPC: G05D1/00 ,  B60W30/18

    Abstract: The technology relates controlling an autonomous vehicle through a multi-lane turn. In one example, data corresponding to a position of the autonomous vehicle in a lane of the multi-lane turn, a trajectory of the autonomous vehicle, and data corresponding to positions of objects in a vicinity of the autonomous vehicle may be received. A determination of whether the autonomous vehicle is positioned as a first vehicle in the lane or positioned behind another vehicle in the lane may be made based on a position of the autonomous vehicle in the lane relative to the positions of the objects. The trajectory of the autonomous vehicle through the lane may be adjusted based on whether the autonomous vehicle is positioned as a first vehicle in the lane or positioned behind another vehicle in the lane. The autonomous vehicle may be controlled based on the adjusted trajectory.

    Controlling vehicles through multi-lane turns
    16.
    发明授权
    Controlling vehicles through multi-lane turns 有权

    公开(公告)号：US12181886B2

    公开(公告)日：2024-12-31

    申请号：US17336938

    申请日：2021-06-02

    Applicant: Waymo LLC

    Inventor： Jared Stephen Russell ,  Jens-Steffen Ralf Gutmann ,  Pei Sun

    IPC: G05D1/00 ,  B60W30/18

    Abstract: The technology relates controlling an autonomous vehicle through a multi-lane turn. In one example, data corresponding to a position of the autonomous vehicle in a lane of the multi-lane turn, a trajectory of the autonomous vehicle, and data corresponding to positions of objects in a vicinity of the autonomous vehicle may be received. A determination of whether the autonomous vehicle is positioned as a first vehicle in the lane or positioned behind another vehicle in the lane may be made based on a position of the autonomous vehicle in the lane relative to the positions of the objects. The trajectory of the autonomous vehicle through the lane may be adjusted based on whether the autonomous vehicle is positioned as a first vehicle in the lane or positioned behind another vehicle in the lane. The autonomous vehicle may be controlled based on the adjusted trajectory.

    PERFORMING POINT CLOUD TASKS USING MULTI-SCALE FEATURES GENERATED THROUGH SELF-ATTENTION
    19.
    发明公开
    PERFORMING POINT CLOUD TASKS USING MULTI-SCALE FEATURES GENERATED THROUGH SELF-ATTENTION 审中-公开

    公开(公告)号：US20230351691A1

    公开(公告)日：2023-11-02

    申请号：US18120989

    申请日：2023-03-13

    Applicant: Waymo LLC

    Inventor： Pei Sun ,  Mingxing Tan ,  Weiyue Wang ,  Fei Xia ,  Zhaoqi Leng ,  Dragomir Anguelov ,  Chenxi Liu

    IPC: G06T17/20

    CPC classification number: G06T17/20 ,  G06T2210/56

    Abstract: Methods, systems, and apparatus for processing point clouds using neural networks to perform a machine learning task. In one aspect, a system comprises one or more computers configured to obtain a set of point clouds captured by one or more sensors. Each point cloud includes a respective plurality of three-dimensional points. The one or more computers assign the three-dimensional points to respective voxels in a voxel grid, where the grid of voxels includes non-empty voxels to which one or more points are assigned and empty voxels to which no points are assigned. For each non-empty voxel, the one or more computers generate initial features based on the points that are assigned to the non-empty voxel. The one or more computers generate multi-scale features of the voxel grid, and the one or more computers generate an output for a point cloud processing task using the multi-scale features of the voxel grid.

Patent Agency Ranking