UAV Aerial Mapping with Reduced Frame Overlap and Fast Pose Estimation
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Solution Overview
Problem
Current aerial mapping technologies with unmanned aerial vehicles (UAVs) require significant frame overlap for accurate mapping, leading to high computational processing demands and limited real-time processing capabilities, which restricts rapid user feedback and adaptability during flights.
Innovation Solution
A method for improved aerial mapping that generates orthomosaic and point cloud data with reduced frame overlap by robustly determining camera pose changes through feature matching and telemetry data, enabling near-real-time processing and user feedback, and facilitating rapid generation of aerial maps and analyses using a single UAV or a fleet.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If significant frame overlap is used for accurate mapping, then mapping accuracy is improved, but computational processing demands increase
Solution Approach 1:
The patent segments the mapping process into distinct phases: capturing phase with moderate overlap, initial processing phase to identify stable features, and refinement phase using only those stable features. This segmentation allows the system to achieve high mapping accuracy without processing all overlapping frames, thereby reducing computational demands while maintaining precision.
2Measurement precision
If significant frame overlap is used for accurate mapping, then mapping accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary action by identifying and selecting stable features from captured frames before the main mapping computation. By pre-processing the frame overlap data to extract only reliable features, the system reduces the computational burden during the actual mapping process, thereby decreasing processing time while preserving mapping accuracy.
3Power
If reduced frame overlap is used, then computational processing demands are reduced, but mapping accuracy deteriorates
Solution Approach 1:
The patent changes the parameter of frame overlap from the traditional high overlap requirement to a reduced overlap threshold, compensated by enhancing feature selection criteria. By adjusting these parameters and using robust stable feature identification, the system achieves accurate mapping with reduced computational processing demands.
4Reliability
If traditional feature matching is used with high frame overlap, then mapping robustness is improved, but real-time processing capability is limited
Solution Approach 1:
The patent extracts only the essential stable features from the captured frames, separating them from the redundant overlapping data. By taking out only the necessary feature information needed for robust mapping and discarding unnecessary overlap data, the system achieves both mapping robustness and real-time processing capability.
Data Source
AI summary
A method for image generation, preferably including: generating a set of mission parameters for a UAV mission of the UAV associated with aerial scanning of a region of interest; controlling the UAV to perform the mission; generating an image subassembly corresponding to the mission; and/or rendering the image subassembly at a display.


