Image-Based Positioning Using Combined Feature and Surface Tracking
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Solution Overview
Problem
Existing navigation systems face limitations in obtaining precise survey-grade position data, particularly in environments where satellite signals are unavailable or compromised, and they struggle to accurately determine location using image-based methods.
Innovation Solution
The implementation of an image-based positioning method that utilizes a combination of image-capturing devices, feature-based processes such as Simultaneous Location And Mapping (SLAM), photogrammetric processes, and georeferenced image-based processes to determine the position of objects and platforms, leveraging techniques like stereo imaging, pattern recognition, and georeferencing to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If satellite-based navigation systems are used, then position data can be obtained in open environments, but they become unavailable or compromised in certain environments and cannot provide survey-grade precision
Solution Approach 1:
The patent introduces image-based positioning as an intermediary system between GPS satellites and the ground target. Instead of relying directly on satellite signals, the system uses images captured by remotely operated platforms (drones, balloons, aircraft) to locate ground targets. This intermediary approach allows positioning in environments where satellite signals are blocked or compromised, while maintaining survey-grade precision through specialized image processing algorithms.
2Adaptability or versatility
If traditional image-based positioning methods are used, then location can be determined without satellite signals, but accuracy is insufficient for survey-grade applications
Solution Approach 1:
The patent employs dynamic image processing techniques that adapt to varying environmental conditions and platform movements. The system uses real-time image stabilization, dynamic feature tracking, and adaptive algorithm selection to maintain survey-grade accuracy despite the mobility of the imaging platform and changes in lighting, weather, or terrain conditions.
Solution Approach 2:
The positioning system combines multiple image processing techniques and data sources into a composite solution. It integrates features from multiple images, combines results from different processing algorithms (pattern recognition, feature matching, photogrammetry), and fuses data from various sensors to achieve survey-grade precision that no single method could provide alone.
3Measurement precision
If multiple image processing techniques are integrated, then positioning accuracy and reliability are improved, but system complexity increases
Solution Approach 1:
The patent divides the complex image processing task into distinct modular segments: image acquisition, feature detection, pattern recognition, matching algorithms, and coordinate transformation. Each module performs a specific function and can be independently optimized or replaced. This segmentation manages system complexity while maintaining high precision through specialized processing at each stage.
Data Source
AI summary
Method and apparatus are provided for image based positioning comprising capturing a first image with an image capturing device. Wherein said first image includes at least one object. Moving the platform and capturing a second image with the image capturing device. The second image including the at least one object. Capturing in the first image an image of a surface; capturing in the second image a second image of the surface. Processing the plurality of images of the object and the surface using a combined feature based process and surface tracking process to track the location of the surface. Finally, determining the location of the platform by processing the combined feature based process and surface based process.