Relative Position Sensor Error Estimation Using Global Reference
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Solution Overview
Problem
Mapping service providers face challenges in determining the error contribution of each component measurement to the final position measurement in large-scale maps, particularly when using sensors that combine fixed and relative measurements.
Innovation Solution
A method is introduced to determine the error of relative position measurements by computing a pair of position measurements from global and relative position data within a time or distance threshold, and then calculating the difference between these measurements to estimate the error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to measure error in relative position data, then measurement precision can be achieved, but the quantity of ground truth data required becomes excessively large
Solution Approach 1:
The patent extracts the error measurement function from the traditional ground truth comparison approach. Instead of requiring extensive ground truth data to compute errors, the system uses the difference between global and relative position measurements to directly estimate sensor error characteristics, thereby reducing the quantity of required reference data while maintaining measurement precision.
Solution Approach 2:
The patent introduces an intermediary approach by using the difference between global position measurements and relative position measurements as a mediator to estimate sensor error. This intermediary difference value serves as a proxy that eliminates the need for direct comparison with extensive ground truth data, reducing data requirements while preserving error measurement capability.
2Adaptability or versatility
If sensors combine fixed and relative measurements into final position measurements, then measurement coverage is improved, but device complexity increases
Solution Approach 1:
The patent segments the position measurement system into distinct components: global position measurements from one sensor and relative position measurements from another sensor. By separating these measurement sources and tracking their individual error characteristics, the system maintains the versatility of combined measurements while reducing the complexity of error analysis through modular approach.
Solution Approach 2:
The patent applies local quality by characterizing error properties specifically for each measurement component (global and relative position measurements) rather than treating the combined measurement as a single complex entity. This allows each sensor's error characteristics to be analyzed independently, simplifying the overall device complexity while preserving the benefits of combined measurement coverage.
Data Source
AI summary
An approach is provided for measuring error in relative position data from a sensor. The approach, for instance, includes determining a pair of position measurements of a point feature. Each of the position measurements is computed from a global position measurement made using a first sensor and a relative position measurement made using a second sensor, and the position measurements of the pair are made within a time threshold or a distance threshold. The approach also involves determining a difference between the first position measurement and the second position measurement. The approach further involves determining an error of the relative position measurement based on the difference. The approach further involves providing the error as an output to indicate a measurement error of the second sensor used to measure the relative position measurement.