Nvidia corporation (20240339035). PATH PERCEPTION DIVERSITY AND REDUNDANCY IN AUTONOMOUS MACHINE APPLICATIONS simplified abstract
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 20240339035 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 for accurate lane mapping and path planning.
- Metricizing path perception correctness, quality, and reliability by analyzing agreement among signals.
- Incorporating diverse and redundant path perception computations to reduce system failure likelihood.
- Enabling comfortable lane keeping on high curvature roads and autonomous negotiation of turns at intersections.
- Providing a more accurate and reliable understanding of driving surfaces and paths.
Potential Applications: - Autonomous vehicles - Advanced driver assistance systems - Robotics navigation systems
Problems Solved: - Enhancing accuracy and reliability of path perception - Improving lane mapping and path planning in real-time - Enabling safe and efficient driving in complex road conditions
Benefits: - Increased safety on the road - Enhanced driving experience - Improved efficiency in navigation systems
Commercial Applications: Title: Advanced Path Perception Technology for Autonomous Vehicles This technology can be utilized by automotive companies to enhance the capabilities of autonomous vehicles, making them safer and more reliable for consumers. It can also be integrated into advanced driver assistance systems to improve overall driving experience.
Questions about Path Perception Technology: 1. How does the path perception ensemble improve the accuracy of lane mapping and path planning?
- The path perception ensemble combines multiple inputs to provide a more comprehensive and reliable understanding of the driving surface and paths, leading to enhanced accuracy in lane mapping and path planning.
2. What are the potential challenges in implementing diverse and redundant path perception computations?
- One potential challenge could be the integration of multiple path perception inputs in real-time systems, requiring efficient processing and synchronization to ensure seamless operation.
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.
