Vehicle Localization Using Upward Object Correlation
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Solution Overview
Problem
Existing vehicle localization systems, such as GPS and triangulation systems, suffer from inaccuracies and reduced effectiveness due to obstructions like bridges and tunnels, which block or inhibit communication.
Innovation Solution
A vehicle localization method and system that detects objects above the vehicle using sensors and correlates this information with a map database to determine the vehicle's geographic location, enhancing precision by using a combination of initial, refined, and updated location indications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS and triangulation systems are used for vehicle localization, then location information can be obtained, but the margin of error increases and effectiveness is reduced when bridges, tunnels, or overhead objects block communication
Solution Approach 1:
The patent introduces map data as an intermediary reference system. Instead of relying solely on direct satellite communication (GPS) or triangulation, the system uses pre-stored map information about overhead objects (bridges, tunnels, etc.) as a mediator to correct and refine location data. When GPS signals are blocked by overhead objects identified in the map data, the system switches to alternative localization methods using the map reference, thereby maintaining reliability and precision under obstruction conditions
Solution Approach 2:
The system performs preliminary actions by pre-loading and storing map data that includes information about overhead objects (bridges, tunnels, overpasses) along planned routes. This advance preparation allows the localization system to anticipate potential GPS blockage areas and switch to alternative methods before actual obstruction occurs, maintaining continuous reliable localization without interruption when entering tunnels or under bridges
2Measurement precision
If traditional GPS systems are used, then location data can be obtained, but the margin of error is large and precision is reduced
Solution Approach 1:
The patent merges multiple localization information sources: GPS satellite data, triangulation system data, and map database information about overhead objects. By combining these diverse data sources and cross-referencing them, the system compensates for the inherent margin of error in individual systems. The map data provides contextual information that helps disambiguate GPS coordinates, thereby reducing the overall margin of error and improving location precision
Solution Approach 2:
The system implements feedback by continuously comparing real-time GPS and triangulation location data against pre-stored map information about overhead objects. When discrepancies are detected or when overhead objects are identified in the map data that could block signals, the system adjusts and refines the location estimate. This closed-loop feedback mechanism reduces information loss by validating and correcting raw localization data against known environmental references
Data Source
AI summary
Methods, systems, and vehicles are provided for localizing a vehicle. A sensor is configured to detect an object disposed in a generally upward direction from the vehicle while the vehicle is travelling. A processor is coupled to the sensor. The processor is configured to correlate the object with information from a map database, thereby generating a correlation, and determine a geographic location of the vehicle based on the correlation.