3D Data Synthesis Using 2D Map Intermediary for Scanner Alignment
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Solution Overview
Problem
Generating highly accurate three-dimensional data for facilities like substations is challenging when combining data from ground-based and flying laser scanner systems, as they have few common measurement locations, leading to inaccuracies in alignment and synthesis.
Innovation Solution
A three-dimensional data generation apparatus and method that acquires data from both ground-based and flying scanners, corrects the positional differences between the data sets using vertically oriented viewpoints, and synthesizes the data to align common features, thereby enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If three-dimensional data are combined from ground-based and flying laser scanner systems, then the coverage area and measurement quantity increase, but the measurement precision deteriorates due to large positional differences and few common measurement locations
Solution Approach 1:
The patent introduces an intermediary processing approach by projecting three-dimensional data onto two-dimensional maps as an intermediate representation. This intermediate map serves as a common reference framework that bridges ground-based and aerial measurement systems, enabling precise alignment through shared map features rather than direct point-cloud registration. The correction amount calculated from matched map features then transforms the three-dimensional data into a unified coordinate system.
Solution Approach 2:
The patent transitions from working directly with three-dimensional point cloud data to a two-dimensional map representation. By projecting 3D data onto 2D maps and performing alignment in this intermediate two-dimensional space, the system achieves more robust feature matching and correction calculation. This dimensional transformation enables better geometric registration between ground and aerial measurements before final 3D synthesis.
2Area of stationary object
If measurement apparatuses are placed at different locations (ground and air), then the measurement coverage improves, but the number of common measurement locations decreases, making alignment difficult
Solution Approach 1:
The two-dimensional map serves as a universal intermediary that both ground-based and aerial measurement systems can reference. By converting their respective three-dimensional measurements into two-dimensional projections, the system creates a common alignment language that enables reliable registration even when the original 3D data have large positional discrepancies. Map features provide stable, recognizable landmarks for accurate alignment.
Solution Approach 2:
The system performs preliminary projection of three-dimensional data onto two-dimensional maps before the actual alignment process. This preliminary 2D representation allows for pre-processing feature extraction and matching, which then guides the subsequent 3D registration. The correction amount is calculated in this preliminary 2D space where feature matching is more reliable, before applying the transformation to the final 3D data.
3Productivity
If three-dimensional data from ground and flying apparatuses are synthesized directly, then the processing time is short, but the measurement precision deteriorates due to positional discrepancies
Solution Approach 1:
The patent performs preliminary processing by projecting three-dimensional data onto two-dimensional maps and calculating correction amounts based on matched map features before synthesizing the final three-dimensional result. This preliminary 2D alignment step prepares the data for accurate 3D synthesis by pre-computing the necessary transformation parameters, ensuring high precision without excessive computational cost.
Solution Approach 2:
The two-dimensional map acts as an intermediary that enables efficient and accurate alignment. By performing correction calculation in the 2D map domain where feature matching is more reliable and computationally simpler, the system achieves both speed and precision. The correction amount derived from 2D map alignment is then efficiently applied to the 3D data synthesis, avoiding the need for complex direct 3D registration.
Data Source
AI summary
A three-dimensional data generation apparatus according to the present disclosure includes: an acquisition unit configured to acquire first three-dimensional data indicating a predetermined region and being generated by using a first three-dimensional data generation apparatus installed on a ground surface, and second three-dimensional data indicating the predetermined region and being generated by using a second three-dimensional data generation apparatus from above the predetermined region; a correction unit configured to correct a position between first two-dimensional data generated by viewing the first three-dimensional data with a vertically oriented viewpoint from above and second two-dimensional data generated by viewing the second three-dimensional data with a vertically oriented viewpoint from above; and a synthesis unit configured to synthesize the first three-dimensional data and the second three-dimensional data by using a correction result.