Geofence Boundary Accuracy Verification and Merging
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Solution Overview
Problem
Existing systems for defining geofences at worksites, such as those used for autonomous or semi-autonomous heavy-duty machines, lack accuracy verification and modification capabilities, leading to errors in task performance due to inaccuracies in geofence boundaries and changes in the work surface conditions over time.
Innovation Solution
A method and system that allow for the generation of geofences based on received location information, display of these geofences for accuracy verification, and modification of their boundaries, with the ability to combine geofences if they are within a certain distance of each other, ensuring accurate and adaptable task areas for machines like compaction machines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If geofence boundaries are defined using existing systems, then the basic functionality of defining work areas is achieved, but accuracy of geofence boundaries deteriorates due to lack of verification and modification capabilities
Solution Approach 1:
The system displays the generated geofence to the operator for verification, allowing the operator to confirm or modify the boundary based on visual feedback. This feedback loop ensures the geofence accurately represents the intended work area before autonomous operation begins.
Solution Approach 2:
The geofence boundary is made modifiable after generation. The system allows operators to adjust the geofence perimeter based on actual work surface conditions or errors discovered during verification, transforming a static boundary into a dynamic, adjustable one.
2Adaptability or versatility
If geofence boundaries are fixed after generation, then system simplicity is maintained, but adaptability to changing work surface conditions deteriorates
Solution Approach 1:
The geofence transitions from a static, fixed boundary to a dynamic, modifiable boundary. The system allows operators to adjust the geofence perimeter after generation, enabling adaptation to changing work conditions while maintaining a relatively simple overall system architecture.
3Productivity
If multiple geofences are maintained separately, then precise control over distinct work areas is achieved, but operational efficiency deteriorates due to inability to combine adjacent geofence areas
Solution Approach 1:
The system automatically detects when geofence boundaries are within a threshold distance of each other and offers to combine them into a single unified geofence. This merging capability improves operational efficiency by reducing the number of separate areas to manage while maintaining precision through operator verification.
Data Source
AI summary
A method includes receiving information indicative of a perimeter of a first portion of a work surface, generating, based on the information, a first geofence substantially overlaying the perimeter, and causing a display to display the first geofence. The method also includes receiving a first input indicating an accuracy of the first geofence. The method further includes determining that at least part of the first geofence is less than a threshold distance from a second geofence associated with the work surface. The method also includes generating, based on determining that the at least part of the first geofence is less than the threshold distance from the second geofence, a third geofence associated with the work surface.