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US Patent 11881112 Annotated virtual track to inform autonomous vehicle control

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118811120
Patent Inventor Names
Darren Ernest Canavor0
Charles Edward Cartwright0
Gur Kimchi0
Brandon William Porter0
Date of Patent
January 23, 2024
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Patent Application Number
178066420
Date Filed
June 13, 2022
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Patent Citations
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US Patent 9216745 Shared control of semi-autonomous vehicles including collision avoidance in multi-agent scenarios
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US Patent 9665100 Sparse map for autonomous vehicle navigation
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US Patent 9690293 Autonomous vehicle tail alignment navigation
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US Patent 9696719 Super landmarks as navigation aids
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US Patent 10020987 Systems and methods for correlating sensory events and legacy system events utilizing a correlation engine for security, safety, and business productivity
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US Patent 10136284 Coordinated grouping for machine type communications group based services
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US Patent 10139834 Methods and systems for processing local and cloud data in a vehicle and a cloud server for transmitting cloud data to vehicles
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US Patent 10223911 Video data and GIS mapping for traffic monitoring, event detection and change prediction
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Patent Primary Examiner
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Atul Trivedi
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CPC Code
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G05D 1/0206
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G05D 1/0212
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G05D 1/0289
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H04W 4/44
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H04W 4/40
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H04W 4/02
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G08G 1/164
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G05D 1/101
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Patent abstract

Recent location and control information received from “lead” vehicles that traveled over a segment of land, sea, or air is captured to inform, via aggregated data, subsequent “trailing” vehicles that travel over that same segment of land, sea, or air. The aggregated data may provide the trailing vehicles with annotated road information that identifies obstacles. In some embodiments, at least some sensor control data may be provided to the subsequent vehicles to assist those vehicles in identifying the obstacles and/or performing other tasks. Besides, obstacles, the location and control information may enable determining areas traveled by vehicles that are not included in conventional maps, as well as vehicle actions associated with particular locations, such as places where vehicles park or make other maneuvers.

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