Log in
Enquire now
‌

US Patent 11520345 Path perception diversity and redundancy in autonomous machine applications

Patent 11520345 was granted and assigned to NVIDIA on December, 2022 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
NVIDIA
NVIDIA
0
Current Assignee
NVIDIA
NVIDIA
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
115203450
Patent Inventor Names
Hae-Jong Seo0
Minwoo Park0
Neda Cvijetic0
David Nister0
Davide Marco Onofrio0
Date of Patent
December 6, 2022
0
Patent Application Number
167818930
Date Filed
February 4, 2020
0
Patent Citations
‌
US Patent 10137896 Method and system for operating autonomous driving vehicles using graph-based lane change guide
‌
US Patent 10007269 Collision-avoidance system for autonomous-capable vehicle
‌
US Patent 10053091 Spring system-based change lane approach for autonomous vehicles
0
‌
US Patent 10108867 Image-based pedestrian detection
0
‌
US Patent 10133274 Adaptive road model manager
‌
US Patent 10134278 Autonomous vehicle application
0
‌
US Patent 10580158 Dense depth estimation of image data
‌
US Patent 10586456 System and method for determining car to lane distance
0
...
Patent Citations Received
‌
US Patent 12008822 Using neural networks for 3D surface structure estimation based on real-world data for autonomous systems and applications
0
‌
US Patent 11967022 3D surface structure estimation using neural networks for autonomous systems and applications
0
‌
US Patent 12008788 Evaluating spatial relationships using vision transformers
0
Patent Primary Examiner
‌
Mahmoud S Ismail
0
CPC Code
‌
G05D 1/0214
0
‌
G05D 1/0223
0
‌
G05D 2201/0213
0
‌
G06K 9/6218
0
‌
G06N 3/08
0
‌
G05D 1/0088
0
‌
G05D 1/0219
0

In various examples, a path perception ensemble is used to produce a more accurate and reliable understanding of a driving surface and/or a path there through. For example, an analysis of a plurality of path perception inputs provides testability and reliability for accurate and redundant lane mapping and/or path planning in real-time or near real-time. By incorporating a plurality of separate path perception computations, a means of metricizing path perception correctness, quality, and reliability is provided by analyzing whether and how much the individual path perception signals agree or disagree. By implementing this approach—where individual path perception inputs fail in almost independent ways—a system failure is less statistically likely. In addition, with diversity and redundancy in path perception, comfortable lane keeping on high curvature roads, under severe road conditions, and/or at complex intersections, as well as autonomous negotiation of turns at intersections, may be enabled.

Timeline

No Timeline data yet.

Further Resources

Title
Author
Link
Type
Date
No Further Resources data yet.

References

Find more entities like US Patent 11520345 Path perception diversity and redundancy in autonomous machine applications

Use the Golden Query Tool to find similar entities by any field in the Knowledge Graph, including industry, location, and more.
Open Query Tool
Access by API
Golden Query Tool
Golden logo

Company

  • Home
  • Press & Media
  • Blog
  • Careers
  • WE'RE HIRING

Products

  • Knowledge Graph
  • Query Tool
  • Data Requests
  • Knowledge Storage
  • API
  • Pricing
  • Enterprise
  • ChatGPT Plugin

Legal

  • Terms of Service
  • Enterprise Terms of Service
  • Privacy Policy

Help

  • Help center
  • API Documentation
  • Contact Us
By using this site, you agree to our Terms of Service.