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US Patent 11788846 Mapping and determining scenarios for geographic regions

Patent 11788846 was granted and assigned to Lyft on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Lyft
Lyft
Current Assignee
Lyft
Lyft
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11788846
Patent Inventor Names
David Tse-Zhou Lu
Asif Haque
Date of Patent
October 17, 2023
Patent Application Number
16588729
Date Filed
September 30, 2019
Patent Citations
‌
US Patent 10338594 Navigation of autonomous vehicles to enhance safety under one or more fault conditions
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US Patent 10372132 Guidance of autonomous vehicles in destination vicinities using intent signals
‌
US Patent 10388594 Protection from ESD during the manufacturing process of semiconductor chips
‌
US Patent 10414395 Feature-based prediction
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US Patent 10992755 Smart vehicle
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US Patent 11126180 Predicting an occupancy associated with occluded region
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US Patent 11150660 Scenario editor and simulator
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US Patent 11409304 Supplementing top-down predictions with image features
...
Patent Primary Examiner
‌
Rami Khatib
CPC Code
‌
G05D 2201/0213
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G06Q 50/30
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G05D 1/0231
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G01C 21/32
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G05D 1/0291
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G05D 1/0257
Patent abstract

Systems, methods, and non-transitory computer-readable media can determine sensor data captured by at least one sensor of a vehicle while navigating a road segment. A plurality of features describing the road segment can be extracted from the sensor data. A map representation of the road segment can be determined based at least in part on the sensor data and the plurality of features extracted from the sensor data, the map representation being determined as the vehicle navigates the road segment. While the map representation of the road segment is being determined, at least one scenario associated with the road segment can be determined based at least in part on the map representation and the plurality of features extracted from the sensor data.

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