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US Patent 11788861 Map creation and localization for autonomous driving applications

Patent 11788861 was granted and assigned to Nvidia on October, 2023 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
NVIDIA
NVIDIA
Current Assignee
NVIDIA
NVIDIA
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11788861
Patent Inventor Names
Michael Grabner
Ibrahim Eden
Vaibhav Thukral
David Nister
Jeffrey Liu
Ruchi Bhargava
Date of Patent
October 17, 2023
Patent Application Number
17008074
Date Filed
August 31, 2020
Patent Citations
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US Patent 9623905 Autonomous vehicle navigation based on recognized landmarks
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US Patent 9701307 Systems and methods for hazard mitigation
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US Patent 9710714 Fusion of RGB images and LiDAR data for lane classification
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US Patent 9721471 Learning lanes from radar data
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US Patent 9742869 Approach to adaptive allocation of shared resources in computer systems
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US Patent 7409295 Imminent-collision detection system and process
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US Patent 8204542 Methods for processing apparatus originated communication request and communication apparatuses utilizing the same
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US Patent 8204642 Driving assistance apparatus
...
Patent Primary Examiner
‌
Aaron L Troost
CPC Code
‌
G01C 21/3815
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G06N 3/02
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G06N 3/063
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G06N 3/08
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G06N 3/0454
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G01C 21/3841
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G01C 21/1652
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G01C 21/3811
...
Patent abstract

An end-to-end system for data generation, map creation using the generated data, and localization to the created map is disclosed. Mapstreams—or streams of sensor data, perception outputs from deep neural networks (DNNs), and/or relative trajectory data—corresponding to any number of drives by any number of vehicles may be generated and uploaded to the cloud. The mapstreams may be used to generate map data—and ultimately a fused high definition (HD) map—that represents data generated over a plurality of drives. When localizing to the fused HD map, individual localization results may be generated based on comparisons of real-time data from a sensor modality to map data corresponding to the same sensor modality. This process may be repeated for any number of sensor modalities and the results may be fused together to determine a final fused localization result.

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