GNSS Error Map for Position Accuracy in Restricted Visibility
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Solution Overview
Problem
Conventional GNSS receivers in vehicles, such as those used in vehicle-to-vehicle and vehicle-to-infrastructure communication, suffer from insufficient accuracy due to environmental limitations, making it impractical to rely solely on landmarks for position correction, especially in areas like high-rise canyons where satellite visibility is restricted.
Innovation Solution
A method utilizing field devices like motor vehicles equipped with GNSS receivers to collect and transmit error data, which is then statistically analyzed to create an error map, identifying areas with poor GNSS accuracy, thereby prioritizing landmark measurement and improvement in these areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional GNSS receivers are used in vehicles, then position determination is available, but accuracy is insufficient due to environmental limitations
Solution Approach 1:
The patent applies local quality by creating an error map that divides the target area into sub-areas with different error characteristics. Each sub-area is assigned specific error values based on local environmental conditions affecting GNSS accuracy. This allows the system to adapt to local environmental limitations rather than using a uniform accuracy assumption across the entire service area.
Solution Approach 2:
The patent introduces an intermediary error map that mediates between the raw GNSS signals and the final position determination. This error map, generated through statistical evaluation of field data from multiple vehicles, serves as a mediator that compensates for environmental limitations by providing location-specific accuracy corrections.
2Measurement precision
If landmarks are used for position correction, then accuracy can be improved, but measurement of landmarks is extremely complex and expensive
Solution Approach 1:
The patent applies preliminary action by pre-generating an error map through statistical evaluation of field data collected from multiple vehicles. This error map is created in advance and stored, eliminating the need for complex real-time landmark measurements. The preliminary error characterization allows the system to improve position accuracy using simple look-up operations rather than complex measurement procedures.
Solution Approach 2:
The patent uses copying by creating a digital representation (error map) of the spatial error characteristics across the service area. This error map copies and stores the accuracy patterns observed from field data, allowing the system to retrieve and apply accuracy corrections without performing complex physical measurements of landmarks or environmental features.
3Measurement precision
If field data from multiple vehicles is collected and statistically evaluated, then spatially resolved error measures can be determined, but data transmission and processing requirements increase
Solution Approach 1:
The patent applies merging by combining field data from multiple vehicles operating in the same geographic area. By aggregating GNSS position data and associated error values from many vehicles, the system performs statistical evaluation to generate a comprehensive error map. This merging approach distributes the data collection burden across multiple users while achieving high-resolution spatial error characterization that would be difficult for a single vehicle to obtain.
Data Source
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AI summary
A method for determining a spatially resolved extent of error for position finding with a global navigation satellite system for a target area of interest using field data from a plurality of field apparatuses, particularly motor vehicles (2), that each have a receiver (3) for the global navigation satellite system and are at least intermittently situated in the target area, comprising the following steps: –ascertainment of at least one field data record (5), comprising a current GNSS position (7) in the target area and an error value (8) associated with said position, by the field apparatuses, – transmission of the field data records (5) to a central computation device (12), – ascertainment and update of an error map (14), containing the extents of error for various positions and/or subareas in the target area, by virtue of statistical evaluation of the field data records (5) in the central computation device (12).