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Patent Agency Ranking
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
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.
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公开(公告)号：US20210064890A1
公开(公告)日：2021-03-04
申请号：US16557246
申请日：2019-08-30
Applicant: Waymo LLC
Inventor： Hyman Murveit , Abhijit Ogale , Yu-Han Chen , Alper Ayvaci
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.
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公开(公告)号：US11772654B2
公开(公告)日：2023-10-03
申请号：US17862499
申请日：2022-07-12
Applicant: Waymo LLC
Inventor： Hyman Murveit , Abhijit Ogale , Yu-Han Chen , Alper Ayvaci
IPC: B60W30/18 , G06T7/174 , G05D1/00 , G05D1/02 , G01S13/931 , G01S7/41 , G06V20/58 , G06F18/214 , G06V10/25 , G06V10/774 , G06V10/80
CPC classification number: B60W30/18159 , G01S7/417 , G01S13/931 , G05D1/0088 , G05D1/0212 , G05D1/0231 , G05D1/0257 , G06F18/2155 , G06T7/174 , G06V10/25 , G06V10/7753 , G06V10/811 , G06V20/58 , G01S2013/9323 , G05D2201/0213 , G06T2207/20084 , G06T2207/20132
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.
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公开(公告)号：US20210364637A1
公开(公告)日：2021-11-25
申请号：US17394861
申请日：2021-08-05
Applicant: Waymo LLC
Inventor： Yu-Han Chen , Wan-Yen Lo , Alper Ayvaci , Abhijit Ogale , Hyman Murveit
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a location of a particular object relative to a vehicle. In one aspect, a method includes obtaining sensor data captured by one or more sensors of a vehicle. The sensor data is processed by a convolutional neural network to generate a sensor feature representation of the sensor data. Data is obtained which defines a particular spatial region in the sensor data that has been classified as including sensor data that characterizes the particular object. An object feature representation of the particular object is generated from a portion of the sensor feature representation corresponding to the particular spatial region. The object feature representation of the particular object is processed using a localization neural network to generate the location of the particular object relative to the vehicle.
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公开(公告)号：US11105924B2
公开(公告)日：2021-08-31
申请号：US16151880
申请日：2018-10-04
Applicant: Waymo LLC
Inventor： Yu-Han Chen , Wan-Yen Lo , Alper Ayvaci , Abhijit Ogale , Hyman Murveit
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a location of a particular object relative to a vehicle. In one aspect, a method includes obtaining sensor data captured by one or more sensors of a vehicle. The sensor data is processed by a convolutional neural network to generate a sensor feature representation of the sensor data. Data is obtained which defines a particular spatial region in the sensor data that has been classified as including sensor data that characterizes the particular object. An object feature representation of the particular object is generated from a portion of the sensor feature representation corresponding to the particular spatial region. The object feature representation of the particular object is processed using a localization neural network to generate the location of the particular object relative to the vehicle.
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