Tesseract-Based Coordinate Space for Multi-Source Data Integration
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Solution Overview
Problem
Current systems struggle to coordinate and correlate multiple data sources in real-time or near real-time, especially in integrating qualitative location data with quantitative data from sources like LiDAR, SAR, and photogrammetry.
Innovation Solution
The implementation of a virtual and real-world positioning and locationing system using a scalable earth-centered, earth-fixed (ECEF) coordinate space, which employs an origin cube-based algorithm to provide location and time series information in four-dimensional space, enabling accurate and synchronized data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple data sources (LiDAR, SAR, photogrammetry) are integrated to improve location accuracy, then measurement precision improves, but device complexity increases due to difficulty in coordinating and correlating multiple data sources in real-time
Solution Approach 1:
The patent merges multiple data sources (LiDAR, SAR, photogrammetry, GPS) into a unified four-dimensional coordinate system that integrates spatial and temporal data. This consolidation allows simultaneous processing of multiple data types without requiring separate coordination systems, thereby maintaining high measurement precision while reducing the complexity of data integration.
Solution Approach 2:
The patent introduces a fourth dimension (time) to the traditional three-dimensional coordinate system, creating a four-dimensional coordinate space. This dimensional expansion allows temporal data from multiple sources to be integrated alongside spatial data, enabling real-time coordination of multiple data sources without increasing system complexity.
2Ease of manufacture
If conventional location frameworks are used to store data from multiple sources, then data storage is simplified, but loss of information occurs because the framework decouples context from data
Solution Approach 1:
The patent implements a nested data structure where contextual information is embedded within the four-dimensional coordinate framework. Each coordinate point contains not only spatial-temporal data but also associated contextual information from multiple data sources, creating a nested hierarchy that preserves all information while maintaining organized storage.
3Measurement precision
If high-quality location information is generated and stored in real-time, then measurement precision improves, but use of energy increases due to computational requirements
Solution Approach 1:
The patent performs preliminary transformation of data from multiple sources into the four-dimensional coordinate system before detailed processing occurs. This pre-processing step organizes data in a standardized format that reduces computational complexity during real-time processing, thereby maintaining high location information quality while reducing energy consumption.
Data Source
AI summary
A universal, optimized database is described that includes a scalable framework having an earth centered, earth fixed (ECEF) origin so that data and locations can be accurately referenced for algorithm processing and visual depiction. The universal, optimized database may be referred to as a tesseract-based coordinate space. The tesseract-based coordinate space integrates position, size, attributes, and time for contextual analysis. Application of the present invention includes navigation systems and methods and/or database fidelity for locationing, positioning, and/or trend analysis. The tesseract-based coordinate space may comprise off-line calculations, which are later added to other shapes (e.g., cubes) that may be part of a time series.