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US Patent 10216189 Systems and methods for prioritizing object prediction for autonomous vehicles

Patent 10216189 was granted and assigned to Uber on February, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Uber
Uber
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Current Assignee
Uber
Uber
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
102161890
Patent Inventor Names
Galen Clark Haynes0
Date of Patent
February 26, 2019
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Patent Application Number
158118650
Date Filed
November 14, 2017
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Patent Citations Received
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US Patent 12136030 System and method for adapting a neural network model on a hardware platform
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US Patent 11500387 System and method for providing multiple agents for decision making, trajectory planning, and control for autonomous vehicles
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US Patent 12019450 Operation of a vehicle using motion planning with machine learning
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US Patent 12079723 Optimizing neural network structures for embedded systems
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US Patent 12086097 Vector computational unit
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US Patent 11487288 Data synthesis for autonomous control systems
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US Patent 11526729 Discovering higher-level actions from expert's action demonstration
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US Patent 11537811 Enhanced object detection for autonomous vehicles based on field view
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Patent Primary Examiner
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Alan D Hutchinson
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Patent abstract

Systems and methods for determining object prioritization and predicting future object locations for an autonomous vehicle are provided. A method can include obtaining, by a computing system comprising one or more processors, state data descriptive of at least a current or past state of a plurality of objects that are perceived by an autonomous vehicle. The method can further include determining, by the computing system, a priority classification for each object in the plurality of objects based at least in part on the respective state data for each object. The method can further include determining, by the computing system, an order at which the computing system determines a predicted future state for each object based at least in part on the priority classification for each object and determining, by the computing system, the predicted future state for each object based at least in part on the determined order.

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