UAV Aerial Mapping With Reduced Frame Overlap and Fast Processing
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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 using reduced frame overlap, leveraging feature matching between temporally-close frames and telemetry data, and implementing optimizations such as restricted bundle adjustments and compact data representations to enable near-real-time processing and user feedback.
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 (planning, execution, processing) and divides computational work into manageable components such as feature detection, matching, and bundle adjustment. This segmentation allows the system to handle large datasets by processing them in smaller, organized units, reducing overall computational complexity while maintaining accuracy.
Solution Approach 2:
The system performs preliminary actions by pre-processing images to detect and extract features before the main mapping computation. By identifying and storing key features in advance, the system reduces the computational burden during the actual mapping process, as subsequent steps only need to work with these pre-identified features rather than entire images.
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 extracts only the essential elements needed for mapping by using feature detection to identify key points in images. Instead of processing entire frames, the system extracts and processes only relevant features, dramatically reducing processing time while maintaining mapping accuracy. This extraction approach allows the system to work with minimal data necessary for successful mapping.
Solution Approach 2:
The system applies partial action by using reduced frame overlap in certain scenarios where full overlap is not necessary. By determining the minimum required overlap based on specific mission parameters and environmental conditions, the system avoids unnecessary processing of redundant frames, reducing processing time while maintaining sufficient mapping accuracy for the given application.
3Loss of information
If traditional processing methods are used, then comprehensive mapping data is obtained, but real-time processing capability is limited
Solution Approach 1:
The system performs preliminary feature detection and image processing during data capture, preparing processed data for rapid subsequent mapping computations. By pre-processing images to extract features and organize data structures before main processing occurs, the system enables faster real-time mapping while ensuring no critical information is lost in the optimized workflow.
Solution Approach 2:
The patent implements dynamic processing that adapts to available computational resources and time constraints. The system can adjust processing depth and detail based on real-time conditions, allowing it to deliver results at varying speeds while maintaining data completeness. This dynamic approach enables the system to provide preliminary results quickly while continuing to process additional data for enhanced accuracy when resources permit.
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.