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US Patent 10215571 System and method for precision localization and mapping

Patent 10215571 was granted and assigned to Nauto on February, 2019 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Current Assignee
Nauto
Nauto
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10215571
Date of Patent
February 26, 2019
Patent Application Number
15897901
Date Filed
February 15, 2018
Patent Citations
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US Patent 10078333 Efficient mapping of robot environment
Patent Citations Received
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US Patent 12020488 Determining autonomous vehicle status based on mapping of crowdsourced object data
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US Patent 11836985 Identifying suspicious entities using autonomous vehicles
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US Patent 11861913 Determining autonomous vehicle status based on mapping of crowdsourced object data
0
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US Patent 11866020 Detecting road conditions based on braking event data received from vehicles
0
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US Patent 10755111 Identifying suspicious entities using autonomous vehicles
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US Patent 10997429 Determining autonomous vehicle status based on mapping of crowdsourced object data
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US Patent 11003919 Systems and methods for detecting traffic violations using mobile detection devices
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US Patent 11009876 Systems and methods for evaluating and sharing autonomous vehicle driving style information with proximate vehicles
...
Patent Primary Examiner
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Angelina Shudy
Patent abstract

A method for localization and mapping, including recording an image at a camera mounted to a vehicle, the vehicle associated with a global system location; identifying a landmark depicted in the image with a landmark identification module of a computing system associated with the vehicle, the identified landmark having a landmark geographic location and a known parameter; extracting a set of landmark parameters from the image with a feature extraction module of the computing system; determining, at the computing system, a relative position between the vehicle and the landmark geographic location based on a comparison between the extracted set of landmark parameters and the known parameter; and updating, at the computing system, the global system location based on the relative position.

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