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Patent Agency Ranking
公开(公告)号：US20220198807A1
公开(公告)日：2022-06-23
申请号：US17567729
申请日：2022-01-03
Applicant: Waymo LLC
Inventor： Abhijit Ogale , Alexander Krizhevsky
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.
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公开(公告)号：US10769809B1
公开(公告)日：2020-09-08
申请号：US16022901
申请日：2018-06-29
Applicant: Waymo LLC
Inventor： Abhijit Ogale , Alexander Krizhevsky , Wan-Yen Lo
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.
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公开(公告)号：US10733506B1
公开(公告)日：2020-08-04
申请号：US15378845
申请日：2016-12-14
Applicant: Waymo LLC
Inventor： Abhijit Ogale , Alexander Krizhevsky , Wan-Yen Lo
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating object predictions using a neural network. One of the methods includes receiving respective projections of a plurality of channels of input sensor data, wherein each channel of input sensor data represents different respective characteristics of electromagnetic radiation reflected off of one or more objects. Each of the projections of the plurality of channels of input sensor data are provided to a neural network subsystem trained to receive projections of input sensor data as input and to provide an object prediction as an output. At the output of the neural network subsystem, an object prediction that predicts a region of space that is likely to be occupied by an object is received.
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公开(公告)号：US20200242375A1
公开(公告)日：2020-07-30
申请号：US16853517
申请日：2020-04-20
Applicant: Waymo LLC
Inventor： Abhijit Ogale , Alexander Krizhevsky
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.
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公开(公告)号：US20190279005A1
公开(公告)日：2019-09-12
申请号：US15919045
申请日：2018-03-12
Applicant: Waymo LLC
Inventor： Abhijit Ogale , Alexander Krizhevsky
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.
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