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US Patent 10365658 Systems and methods for aligning crowdsourced sparse map data

Patent 10365658 was granted and assigned to Mobileye on July, 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
Mobileye
Mobileye
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Current Assignee
Mobileye
Mobileye
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103656580
Patent Inventor Names
Ofer Fridman0
Date of Patent
July 30, 2019
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Patent Application Number
156564700
Date Filed
July 21, 2017
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Patent Citations
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US Patent 10005493 Vehicle traveling control apparatus
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US Patent 10049507 Determining portions of a roadway model requiring updating
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US Patent 10032083 Driver assistance for a vehicle
Patent Citations Received
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US Patent 11941887 Scenario recreation through object detection and 3D visualization in a multi-sensor environment
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US Patent 11055862 Method, apparatus, and system for generating feature correspondence between image views
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US Patent 11836955 Detecting unfamiliar signs
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US Patent 11443555 Scenario recreation through object detection and 3D visualization in a multi-sensor environment
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US Patent 11501572 Object behavior anomaly detection using neural networks
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US Patent 10467771 Method and system for vehicle localization from camera image
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US Patent 10928828 Detecting unfamiliar signs
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Patent Primary Examiner
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Anand P Bhatnagar
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Patent abstract

Systems and methods are provided for aligning crowdsourced map data. In one implementation, a method of determining a line representation of a road surface feature extending along a road segment may include receiving a first set of drive data including position information associated with the road surface feature, receiving a second set of drive data including position information associated with the road surface feature, segmenting the first set of drive data into first drive patches and segmenting the second set of drive data into second drive patches, longitudinally aligning the first set of drive data with the second set of drive data within corresponding patches, and determining the line representation of the road surface feature based on the longitudinally aligned first and second drive data in the first and second draft patches.

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