Mediated Reality Geospatial Data Collection
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Solution Overview
Problem
Current methods for collecting geospatial data, such as using global navigation satellite systems (GNSS) and real-time kinematic (RTK), rely on cumbersome and time-consuming validation techniques that lack sophisticated visual feedback, making them inefficient and prone to errors due to reliance on non-visual representations.
Innovation Solution
A computer-implemented method and system that utilizes mediated reality, including augmented or mixed reality, to collect geospatial object data by presenting a visual representation of the object in a physical scene, allowing users to interactively place it accurately using inputs like movement, rotation, and sizing, and recording its position using geographical coordinates and machine vision techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual measurement methods are used to collect geospatial data, then the validation process is simple, but the data collection speed is slow and labor-intensive
Solution Approach 1:
The patent combines multiple functions into a single integrated system: GNSS positioning, visual representation display, user interaction interface, and data recording are merged into one cohesive apparatus. This allows the system to perform data collection, visualization, and validation simultaneously, improving productivity without requiring multiple separate devices and complex coordination between them.
Solution Approach 2:
The system serves multiple purposes through a single platform: it provides positioning services via GNSS, displays visual representations of geospatial objects, enables user interaction for placement adjustment, and records validated data. This multi-functionality eliminates the need for separate specialized equipment for each task, thereby increasing efficiency while managing device complexity.
2Measurement precision
If GNSS and RTK positioning systems are used to collect digital geospatial data, then the measurement precision is high, but the validation process becomes cumbersome and time-consuming
Solution Approach 1:
The system provides real-time visual feedback by displaying visual representations of geospatial objects overlaid on captured images or videos. Users can immediately see the placement accuracy of digital data points relative to physical objects, allowing for rapid validation and adjustment without time-consuming manual measurement processes. This feedback mechanism maintains high measurement precision while dramatically reducing validation time.
Solution Approach 2:
The patent creates visual copies or representations of physical geospatial objects and overlays them with digital data information. These visual representations serve as accurate replicas that can be manipulated and validated interactively, allowing users to verify data accuracy by comparing the virtual model with the physical object rather than performing complex manual validation procedures.
3Ease of operation
If visual representation methods are introduced to enhance data collection, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The system introduces visual representations as an intermediary between the user and the geospatial data collection process. These visual elements serve as a mediator that simplifies user interaction by providing intuitive visual cues for placement and validation, while the underlying complexity of GNSS positioning, image processing, and data processing is hidden behind this user-friendly interface.
Solution Approach 2:
The patent replaces complex manual mechanical measurement and validation processes with electronic and optical systems. Instead of requiring physical measurement tools and manual calculation, the system uses GNSS satellite signals, digital image processing, and visual display technologies to automatically perform positioning, visualization, and validation functions, thereby simplifying operation while managing system complexity through automation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances data collection accuracy and efficiency by providing real-time visual validation and reducing the need for multiple hardware components, thereby speeding up the data gathering process and improving the quality of geospatial data collection.
Implementation Method 1
The physical position is received from at least one of global navigation satellite systems (GNSS) and real-time kinematic (RTK) positioning.
Implementation Method 2
The physical position is received from at least one of global navigation satellite systems (GNSS) and real-time kinematic (RTK) positioning.
Implementation Method 3
placing the visual representation at the location of the counterpart geospatial object in the physical scene comprises using machine vision and artificial intelligence techniques to locate the counterpart geospatial object in the physical scene
Data Source
AI summary
There is provided a system and method of collecting geospatial object data with mediated reality. The method including: receiving a determined physical position; receiving a live view of a physical scene; receiving a geospatial object to be collected; presenting a visual representation of the geospatial object to a user with the physical scene; receiving a placement of the visual representation relative to the physical scene; and recording the position of the visual representation anchored into a physical position in the physical scene using the determined physical position.