中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

54 records (took 0.01 seconds)

    OCCUPANCY PREDICTION NEURAL NETWORKS
    1.
    发明申请
    OCCUPANCY PREDICTION NEURAL NETWORKS 有权

    公开(公告)号：US20220343657A1

    公开(公告)日：2022-10-27

    申请号：US17862499

    申请日：2022-07-12

    Applicant: Waymo LLC

    Inventor： Hyman Murveit ,  Abhijit Ogale ,  Yu-Han Chen ,  Alper Ayvaci

    IPC: G06V20/58 ,  G06T7/174 ,  G06K9/62 ,  G05D1/00 ,  G05D1/02 ,  G01S13/931 ,  G01S7/41

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a future occupancy prediction for a region of an environment. In one aspect, a method comprises: receiving sensor data generated by a sensor system of a vehicle that characterizes an environment in a vicinity of the vehicle as of a current time point, wherein the sensor data comprises a plurality of sensor samples characterizing the environment that were each captured at different time points; processing a network input comprising the sensor data using a neural network to generate an occupancy prediction output for a region of the environment, wherein: the occupancy prediction output characterizes, for one or more future intervals of time after the current time point, a respective likelihood that the region of the environment will be occupied by an agent in the environment during the future interval of time.

    Vison-Based Object Detection Using a Polar Grid
    3.
    发明申请
    Vison-Based Object Detection Using a Polar Grid 审中-公开

    公开(公告)号：US20190101928A1

    公开(公告)日：2019-04-04

    申请号：US16191835

    申请日：2018-11-15

    Applicant: Waymo LLC

    Inventor： Wan-Yen Lo ,  David Ian Franklin Ferguson ,  Abhijit Ogale

    IPC: G05D1/02 ,  G06K9/46 ,  G06K9/00

    CPC classification number: G05D1/0246 ,  G05D2201/0212 ,  G06K9/00825 ,  G06K9/4652 ,  G06K9/4661 ,  G06K9/50

    Abstract: A computing device of a first vehicle may receive a first image and a second image of a second vehicle having flashing light signals. The computing device may determine, in the first image and the second image, an image region that bounds the second vehicle such that the image region substantially encompasses the second vehicle. The computing device may determine a polar grid that partitions the image region in the first image and the second image into polar bins, and identify portions of image data exhibiting a change in color and a change in brightness between the first image and the second image. The computing device may determine a type of the flashing light signals and a type of the second vehicle; and accordingly provide instructions to control the first vehicle.

    Real-time image-based vehicle detection based on a multi-stage classification
    4.
    发明授权
    Real-time image-based vehicle detection based on a multi-stage classification 有权

    公开(公告)号：US10203697B2

    公开(公告)日：2019-02-12

    申请号：US15837501

    申请日：2017-12-11

    Applicant: Waymo LLC

    Inventor： Abhijit Ogale

    IPC: G05D1/02 ,  G06K9/32 ,  G06K9/62 ,  G06K9/00 ,  B60W30/17

    Abstract: The present disclosure is directed to an autonomous vehicle having a vehicle control system. The vehicle control system includes a vehicle detection system. The vehicle detection system includes receiving an image of a field of view of the vehicle and identifying a region-pair in the image with a sliding-window filter. The region-pair is made up of a first region and a second region. Each region is determined based on a color of pixels within the sliding-window filter. The vehicle detection system also determines a potential second vehicle in the image based on the region-pair. In response to determining the potential second vehicle in the image, the vehicle detection system performs a multi-stage classification of the image to determine whether the second vehicle is present in the image. Additionally, the vehicle detection system provides instructions to control the first vehicle based at least on the determined second vehicle.

    Distribution decision trees
    5.
    发明授权
    Distribution decision trees 有权

    公开(公告)号：US10173673B1

    公开(公告)日：2019-01-08

    申请号：US15399613

    申请日：2017-01-05

    Applicant: Waymo LLC

    Inventor： David Ian Franklin Ferguson ,  Abhijit Ogale

    IPC: G05D1/00 ,  B60W30/09

    Abstract: The present disclosure is directed to autonomous vehicle having a vehicle control system. The vehicle control system includes a processing system that receives input values that indicate attributes of an object within a threshold distance of the autonomous vehicle and variance values indicating uncertainty associated with the input values. The processing system also provides a plurality of outcomes that are associated with combinations of split decisions. A given split decision indicates whether a particular input value is above or below a threshold value associated with the given split decision. The processing system further determines (i) a probability that the particular input value is above a threshold value and (ii) a probability that the particular input is below the threshold value for a given split decision. Additionally, the processing system determines one or more likelihoods associated with a given outcome. Further, the processing system provides instructions to control the autonomous vehicle.

    Neural networks for object detection
    6.
    发明授权
    Neural networks for object detection 有权

    公开(公告)号：US10013773B1

    公开(公告)日：2018-07-03

    申请号：US15381288

    申请日：2016-12-16

    Applicant: Waymo LLC

    Inventor： Abhijit Ogale ,  Alexander Krizhevsky ,  Wan-Yen Lo

    IPC: G06K9/00 ,  G06N3/08 ,  G06T7/73 ,  G06N3/04

    CPC classification number: G06N3/08 ,  G06K9/00791 ,  G06K9/627 ,  G06K9/68 ,  G06N3/0454 ,  G06N3/084 ,  G06T7/74 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084

    Abstract: A neural network system for identifying positions of objects in an input image can include an object detector neural network, a memory interface subsystem, and an external memory. The object detector neural network is configured to, at each time step of multiple successive time steps, (i) receive a first neural network input that represents the input image and a second neural network input that identifies a first set of positions of the input image that have each been classified as showing a respective object of the set of objects, and (ii) process the first and second inputs to generate a set of output scores that each represents a respective likelihood that an object that is not one of the objects shown at any of the positions in the first set of positions is shown at a respective position of the input image that corresponds to the output score.

    Use of detected objects for image processing
    7.
    发明授权
    Use of detected objects for image processing 有权

    公开(公告)号：US09804597B1

    公开(公告)日：2017-10-31

    申请号：US14855009

    申请日：2015-09-15

    Applicant: Waymo LLC

    Inventor： Dave Ferguson ,  Abhijit Ogale

    IPC: G05D1/00 ,  G01S17/02 ,  G05D1/02 ,  G01S19/13 ,  G01S13/02

    CPC classification number: G05D1/0088 ,  B60W30/00 ,  G01S13/02 ,  G01S17/02 ,  G01S19/13 ,  G05D1/0231 ,  G05D1/0246 ,  G05D2201/0213 ,  G06K9/00805 ,  G06K9/00825

    Abstract: Methods and systems for the use of detected objects for image processing are described. A computing device autonomously controlling a vehicle may receive images of the environment surrounding the vehicle from an image-capture device coupled to the vehicle. In order to process the images, the computing device may receive information indicating characteristics of objects in the images from one or more sources coupled to the vehicle. Examples of sources may include RADAR, LIDAR, a map, sensors, a global positioning system (GPS), or other cameras. The computing device may use the information indicating characteristics of the objects to process received images, including determining the approximate locations of objects within the images. Further, while processing the image, the computing device may use information from sources to determine portions of the image to focus upon that may allow the computing device to determine a control strategy based on portions of the image.

    Neural networks for object detection and characterization
    8.
    发明授权
    Neural networks for object detection and characterization 有权

    公开(公告)号：US11928866B2

    公开(公告)日：2024-03-12

    申请号：US17567729

    申请日：2022-01-03

    Applicant: Waymo LLC

    Inventor： Abhijit Ogale ,  Alexander Krizhevsky

    IPC: G06K9/00 ,  G05D1/00 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06V20/58

    CPC classification number: G06V20/58 ,  G05D1/0221 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  B60R2300/8093

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting locations in an environment of a vehicle where objects are likely centered and determining properties of those objects. One of the methods includes receiving an input characterizing an environment external to a vehicle. For each of a plurality of locations in the environment, a respective first object score that represents a likelihood that a center of an object is located at the location is determined. Based on the first object scores, one or more locations from the plurality of locations are selected as locations in the environment at which respective objects are likely centered. Object properties of the objects that are likely centered at the selected locations are also determined.

Patent Agency Ranking