UAV Aerial Mapping with Reduced Frame Overlap and Real-Time Rendering
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Solution Overview
Problem
Existing aerial mapping technologies using unmanned aerial vehicles (UAVs) face challenges in efficiently generating accurate aerial maps with reduced frame overlap and high computational processing demands.
Innovation Solution
A method for improved aerial mapping involving generating mission parameters for UAVs, executing subportions of the mission with reduced frame overlap, and generating image subassemblies that are combined into a running aggregation for real-time rendering and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional aerial mapping methods are used with high frame overlap, then measurement precision is improved, but productivity decreases due to increased computational processing demands
Solution Approach 1:
The patent segments the aerial mapping process into multiple phases: capture phase with reduced frame overlap, and processing phase with selective frame usage. By dividing the workflow and using different overlap requirements for different purposes (navigation vs. mapping), the system achieves both efficiency and accuracy without requiring high overlap throughout the entire process
Solution Approach 2:
The patent applies partial action by using only the necessary minimum frame overlap for mapping purposes rather than excessive overlap. The system captures frames with reduced overlap but selectively uses frames that do provide sufficient geometric constraints for accurate mapping, avoiding the computational burden of processing all captured frames
2Productivity
If reduced frame overlap is used during UAV transmission, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The patent performs preliminary actions by capturing frames with reduced overlap during the transmission phase, then later supplements these with additional frames or uses selective processing to ensure sufficient geometric constraints are met for accurate mapping, rather than requiring high overlap from the start
Solution Approach 2:
The system dynamically changes parameters by adjusting frame selection and processing based on the actual geometric constraints met. When reduced overlap frames are captured, the system modifies its processing approach to selectively use frames that provide adequate parallax and geometric diversity for accurate mapping
3Measurement precision
If high computational processing is applied to generate accurate aerial maps, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent extracts and uses only the essential frames and features needed for accurate orthomosaic generation, rather than processing all captured frames. By identifying and utilizing only the frames that provide necessary geometric constraints, the system reduces processing time while maintaining mapping accuracy
Solution Approach 2:
The system uses telemetry data and flight path information as copies or proxies to guide frame selection and processing, reducing the need for intensive processing of all visual data. The telemetry-based approach provides a simplified representation that guides the more detailed image processing
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.