18745370. PATH PERCEPTION DIVERSITY AND REDUNDANCY IN AUTONOMOUS MACHINE APPLICATIONS simplified abstract (NVIDIA Corporation)
Contents
PATH PERCEPTION DIVERSITY AND REDUNDANCY IN AUTONOMOUS MACHINE APPLICATIONS
Organization Name
Inventor(s)
Davide Marco Onofrio of San Francisco CA (US)
Hae-Jong Seo of San Jose CA (US)
David Nister of Bellevue WA (US)
Minwoo Park of Saratoga CA (US)
Neda Cvijetic of East Palo Alto CA (US)
PATH PERCEPTION DIVERSITY AND REDUNDANCY IN AUTONOMOUS MACHINE APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18745370 titled 'PATH PERCEPTION DIVERSITY AND REDUNDANCY IN AUTONOMOUS MACHINE APPLICATIONS
The abstract describes the use of a path perception ensemble to enhance understanding of driving surfaces and paths.
- Analysis of multiple path perception inputs allows for accurate lane mapping and path planning in real-time.
- Metricizing path perception correctness, quality, and reliability is achieved by comparing individual signals.
- Incorporating diverse and redundant path perception computations reduces the likelihood of system failure.
- Enables comfortable lane keeping on high curvature roads and autonomous negotiation of turns at intersections.
- Provides reliability and testability for path perception in complex driving scenarios.
- Potential Applications:**
This technology can be applied in autonomous vehicles, advanced driver assistance systems, and robotics for navigation and path planning.
- Problems Solved:**
Enhances accuracy and reliability of path perception in challenging driving conditions, reducing the risk of system failure.
- Benefits:**
Improved safety, efficiency, and reliability in autonomous driving systems, leading to smoother navigation and enhanced user experience.
- Commercial Applications:**
This technology can be utilized by automotive manufacturers, tech companies, and transportation services to develop advanced autonomous driving solutions for commercial use.
- Questions about Path Perception Ensemble:**
1. How does the path perception ensemble improve the reliability of autonomous driving systems? 2. What are the key advantages of using a diverse set of path perception inputs in real-time navigation?
Original Abstract Submitted
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.
