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US Patent 11772654 Occupancy prediction neural networks

Patent 11772654 was granted and assigned to Waymo on October, 2023 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Waymo
Waymo
Current Assignee
Waymo
Waymo
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11772654
Patent Inventor Names
Abhijit Ogale
Alper Ayvaci
Yu-Han Chen
Hyman Murveit
Date of Patent
October 3, 2023
Patent Application Number
17862499
Date Filed
July 12, 2022
Patent Citations
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US Patent 11370423 Multi-task machine-learned models for object intention determination in autonomous driving
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US Patent 11511745 Method and system for adaptively controlling object spacing
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US Patent 11625036 User interface for presenting decisions
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US Patent 11537134 Generating environmental input encoding for training neural networks
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US Patent 10611371 System and method for vehicle lane change prediction using structural recurrent neural networks
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US Patent 10611379 Integrative cognition of driver behavior
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US Patent 10990855 Detecting adversarial samples by a vision based perception system
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US Patent 11034348 Agent prioritization for autonomous vehicles
...
Patent Primary Examiner
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Mahendra R Patel
CPC Code
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G01S 2013/9323
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G05D 1/0088
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G05D 1/0212
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G05D 1/0231
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G05D 1/0257
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G05D 2201/0213
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G06T 7/174
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G06T 2207/20084
...
Patent 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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