Parking Garage Navigation Mode for Accurate Positioning
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Solution Overview
Problem
Vehicular telematics systems face challenges in providing accurate navigation within covered structures like parking garages due to weak or unavailable GNSS signals, where traditional Dead Reckoning systems fail to offer the same level of accuracy as GNSS-based navigation.
Innovation Solution
Implementing a method within the telematics unit to determine when a vehicle is entering a parking garage and switching to a specialized 'parking garage mode' for the Dead Reckoning system, which calculates a more accurate estimated horizontal position error (EHPE) using specific equations and sensor data, accounting for the unique environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional Dead Reckoning system is used in parking garage, then navigation service can be provided without GNSS signals, but position estimation accuracy deteriorates
Solution Approach 1:
The system dynamically switches between standard DR mode and parking garage DR mode based on environmental detection. When the vehicle enters a parking garage, the system transitions to a specialized mode that uses modified EHPE calculation equations adapted for the specific characteristics of parking garage environments, thereby maintaining navigation reliability while improving position estimation accuracy in this specific context
Solution Approach 2:
The invention changes the calculation parameters and equations used for EHPE determination based on the operating environment. In parking garage mode, different mathematical models and sensor fusion parameters are applied compared to standard DR mode, optimizing the position estimation for the unique conditions of covered structures where GNSS signals are unavailable
2Measurement precision
If GNSS-based navigation is used in open environment, then position accuracy is high, but navigation service fails in covered structures
Solution Approach 1:
The system uses an environmental detection mechanism as an intermediary to determine when to switch between GNSS-based navigation and Dead Reckoning mode. This intermediary layer detects whether the vehicle is in a covered structure and triggers the appropriate navigation mode, ensuring continuous service availability while maintaining accuracy in both open and covered environments
Data Source
AI summary
Implementations of the present invention contemplate obtaining a more accurate estimated horizontal position error (EHPE) under conditions in which the telematics unit of a vehicle cannot receive GNSS signals. In particular, the invention contemplates determining that a vehicle is entering a parking garage and obtaining a more accurate estimated horizontal position error (EHPE) of the vehicle in the parking garage when GNSS signals are unavailable.