3D Data Preparation Using GPS and Image Resection
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Solution Overview
Problem
GPS position measurement is hindered by obstacles such as mountains and buildings, resulting in 'shaded' areas where satellite signals are interrupted, preventing continuous 3-dimensional data acquisition and display in civil engineering applications.
Innovation Solution
A 3-dimensional data preparing method and device that uses a GPS position detecting device to continuously take digital images while moving between known and unknown points, generating tracking points, and obtaining 3-dimensional data through orientation and position data intersection or resection methods, allowing for continuous position measurement and data acquisition even in shaded areas without interrupting the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS position measurement is used, then position data can be obtained in real time, but position measurement cannot be performed in shaded areas where satellite signals are interrupted
Solution Approach 1:
The patent segments the measurement process into two distinct phases: GPS-based measurement in open areas and image-based measurement in shaded areas. This segmentation allows the system to switch between measurement methods depending on the environmental conditions, thereby resolving the contradiction between real-time position measurement capability and adaptability to shaded areas.
Solution Approach 2:
The patent introduces image data as an intermediary element that bridges the gap between GPS measurement limitations and the need for continuous position data. By using images captured by the imaging device and processing them through photogrammetry methods, the system obtains position information in shaded areas where GPS signals are unavailable.
2Measurement precision
If manual surveying is performed in shaded areas, then position data can be obtained, but the operation must be stopped and productivity decreases
Solution Approach 1:
The patent implements continuous measurement action by automatically switching between GPS and image-based measurement methods without interrupting the operation. The imaging device continuously captures images, and the control device automatically processes these images to obtain position data, eliminating the need to stop for manual surveying and thereby maintaining productivity.
Solution Approach 2:
The system performs self-service measurement by automatically processing captured images through photogrammetry algorithms to obtain position data in shaded areas. This automated self-measurement eliminates the need for manual surveying operations, maintaining both measurement accuracy and operational continuity.
3Quantity of substance
If only image data without position data is acquired in shaded areas, then images can be captured, but electronic map cannot be displayed and 3-dimensional continuous image display is not possible
Solution Approach 1:
The patent merges image data with position data by integrating photogrammetry processing results with GPS position information. The control device combines the spatial information extracted from images with coordinate data to create comprehensive position information, enabling both electronic map display and 3-dimensional continuous image display even in shaded areas.
Solution Approach 2:
The patent adds the position data dimension to image data by using photogrammetry to extract spatial coordinates from 2D images. This dimensionality transformation converts pure image data into position-enriched data, enabling electronic map integration and 3D display capabilities.
Data Source
AI summary
A 3-dimensional data preparing method, comprising a first step of continuously taking digital images when moving from a first known point, via a second known point, to a third unknown point, a second step of generating tracking points from an image acquired at the first point, and sequentially specifying the tracking points on the continuously acquired images, a third step of obtaining 3-dimensional data of the tracking points based on the first and second points, a fourth step of sequentially obtaining a position of the third point, based on the orientation and the position data of the tracking point, a fifth step of obtaining position data of an image based on the first and second points, and a sixth step of sequentially obtaining position data of images from the orientation of the images at the second and third points and from the position data at those points.