Surveying Accuracy Maps for Pose Uncertainty Visualization
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Solution Overview
Problem
Existing surveying instruments lack a method to determine and visualize the accuracy that can be achieved during measurement and layout operations, relying on operator interpretation of numerical data which is complex and subjective.
Innovation Solution
A computer-implemented method that divides the working area into a grid pattern, computes pose vectors and variances, calculates achievable accuracies based on these vectors, and generates a graphical accuracy map to support operators in understanding and achieving desired measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If numerical values and standard deviation are shown to the operator, then measurement precision is improved, but ease of operation deteriorates due to complex interpretation requiring operator experience
Solution Approach 1:
The patent introduces an intermediary visualization system that translates complex numerical pose data and standard deviations into an intuitive accuracy map with color-coded regions. This intermediary representation mediates between the raw measurement data and the operator's understanding, eliminating the need for experienced interpretation while preserving measurement precision.
Solution Approach 2:
The patent replaces the mechanical/cognitive process of manual data interpretation with an automated computational system. The computer automatically calculates accuracy metrics from pose vectors and variances, then generates visual representations, substituting the operator's experience-based judgment with algorithmic processing.
2Ease of operation
If a recommended working area polygon is shown based on control points, then ease of operation is improved, but measurement precision deteriorates because the area is not evaluated based on achievable accuracy threshold
Solution Approach 1:
The patent changes the defining parameters of the working area from simple geometric boundaries based on control points to accuracy-based thresholds. The working area is redefined by minimum achievable accuracy requirements, transforming the area determination from a geometric exercise to a precision-based evaluation.
Solution Approach 2:
The system provides feedback by calculating and displaying the actual achievable accuracy at each location within the working area based on the pose and its uncertainty. This feedback loop allows the system to adjust and refine the working area definition to ensure it meets the required accuracy thresholds.
3Ease of manufacture
If the working area is defined based on control points geometry, then ease of manufacture is improved, but reliability deteriorates because it does not account for pose uncertainty and achievable accuracy
Solution Approach 1:
The patent performs preliminary calculations of pose vectors, variances, and covariances before defining the working area. By pre-computing the accuracy characteristics based on control point measurements and their uncertainties, the system ensures that the resulting working area definition is reliable and meets accuracy requirements from the outset.
Solution Approach 2:
The patent transforms the working area definition from purely geometric parameters (control point coordinates) to include statistical parameters (variances, covariances, and achievable accuracy thresholds). This parameter expansion ensures that the working area reliably reflects both the geometry and the measurement uncertainty.
Data Source
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AI summary
A computer-implemented method for determining for a working area at a worksite, in which a surveying instrument is deployed at a station, an accuracy map, which shows for the working area at least one accuracy that can be achieved during operating the surveying instrument, the method being performed by a computer system and comprising the steps: ▪ Dividing the working area in a grid pattern of surface elements, ▪ Computing for the station of the surveying instrument, a pose vector, and corresponding variances and covariances for the pose elements of the pose vector, ▪ Computing for the surface elements accuracies that can be achieved during operating the surveying instrument based on the pose vector, the variances and covariances of the pose elements, on measuring accuracies of the surveying instrument, and on representative coordinates of the surface elements, ▪ Computing the accuracy map based on the accuracies computed for the surface elements, ▪ Instructing a display to visualize a graphical representation of the accuracy map.