Low-Latency Cross-Reference Navigation for GNSS-Degraded UAM
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Solution Overview
Problem
UAM vehicles face challenges in maintaining navigation and radar systems due to limited GNSS and radar availability, signal degradation, and onboard system failures, which can compromise safety and operation.
Innovation Solution
Implementing a supplemental navigation system using low latency communication networks to cross-reference positional data from nearby vehicles and infrastructure, utilizing beacon triangulation and digital adaptive phased array radars to maintain navigation even when onboard systems fail.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an exclusive secondary navigation system is hosted onboard a UAM vehicle, then navigation reliability is improved, but device complexity and weight increase
Solution Approach 1:
The patent combines multiple navigation data sources (GNSS, radar, onboard sensors, and external infrastructure) into a single integrated navigation system. This merging approach provides redundant navigation capabilities without requiring a complete separate secondary system, thereby improving reliability while controlling complexity.
Solution Approach 2:
The navigation system is designed to perform multiple functions by accepting and processing data from diverse sources including satellite-based GNSS, ground-based radar, onboard sensors, and external infrastructure. This multi-functionality allows a single system to provide primary and secondary navigation capabilities.
2Reliability
If an exclusive secondary navigation system is hosted onboard a UAM vehicle, then navigation reliability is improved, but payload capacity decreases
Solution Approach 1:
The patent combines multiple navigation data sources (GNSS, radar, onboard sensors, and external infrastructure) into a single integrated navigation system. This merging approach provides redundant navigation capabilities without requiring a complete separate secondary system, thereby improving reliability while controlling complexity.
3Reliability
If an exclusive secondary navigation system is hosted onboard a UAM vehicle, then navigation reliability is improved, but energy consumption increases
Solution Approach 1:
The patent combines multiple navigation data sources (GNSS, radar, onboard sensors, and external infrastructure) into a single integrated navigation system. This merging approach provides redundant navigation capabilities without requiring a complete separate secondary system, thereby improving reliability while controlling complexity.
4Reliability
If onboard GNSS experiences failure, then navigation reliability is compromised, but the vehicle must maintain situational awareness
Solution Approach 1:
The system preliminarily establishes multiple independent navigation data sources and processing pathways before GNSS failure occurs. This includes configuring external infrastructure, onboard sensors, and alternative navigation methods in advance, so that when GNSS fails, the system can immediately switch to alternative sources without compromising situational awareness.
Solution Approach 2:
The patent implements beforehand cushioning by preparing redundant navigation capabilities through external infrastructure and onboard sensors prior to any failure event. This cushioning ensures that when GNSS signal degradation or failure occurs, the vehicle maintains navigation reliability through pre-configured alternative sources.
Data Source
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AI summary
Disclosed are methods, systems, and non-transitory computer-readable medium for vehicle navigation processing. For instance, the method may include scanning for one or more terminals (111-117, 122, 124, 131-133) within a predetermined vicinity of the vehicle (131-133) via a low latency communication network and receiving positional data of the one or more terminals via the low latency communication network. The method may further include receiving directional data of the one or more terminals relative to the vehicle, determining a first location of the vehicle relative to the one or more terminals based on the directional data, and determining a second location of the vehicle relative to the environment based on the positional data and the first location.