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US Patent 10586118 Localizing traffic situation using multi-vehicle collaboration

Patent 10586118 was granted and assigned to Toyota on March, 2020 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
Toyota
Toyota
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
105861180
Patent Inventor Names
Kentaro Oguchi0
Preeti Pillai0
Rui Guo0
Date of Patent
March 10, 2020
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Patent Application Number
158708700
Date Filed
January 13, 2018
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Patent Citations
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US Patent 10175340 Switching between object detection and data transfer with a vehicle radar
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Patent Citations Received
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US Patent 12075197 Facilitation of collaborative monitoring of an event
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US Patent 11768082 Facilitation of predictive simulation of planned environment
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US Patent 11356349 Adaptive resource allocation to facilitate device mobility and management of uncertainty in communications
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US Patent 11368991 Facilitation of prioritization of accessibility of media
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US Patent 11411757 Facilitation of predictive assisted access to content
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US Patent 11956841 Facilitation of prioritization of accessibility of media
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US Patent 11509812 Facilitation of collaborative camera field of view mapping
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US Patent 11037443 Facilitation of collaborative vehicle warnings
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...
Patent Primary Examiner
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Tsung-Yin Tsai
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Patent abstract

A method receives situation data including images from vehicles; clusters, into an image cluster, the images included in the situation data of vehicle(s) located in a geographic region from among the vehicles; locates related situation object(s) in image(s) of the image cluster; matches images from different vehicles in the image cluster, the matched images having corresponding feature(s) of the related situation object(s); determines three-dimensional (3D) sensor coordinates of the related situation object(s) relative to a sensor position of a target vehicle associated with at least one matched image, using the corresponding feature(s) of the related situation object(s) in the matched images; converts the 3D sensor coordinates of the related situation object(s) to geolocation coordinates of the related situation object(s) using geolocation data of the different vehicles associated with the matched images; and determines a coverage area of a traffic situation based on the geolocation coordinates of the related situation object(s).

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