Self-Contained Navigation Using Skyline View Matching
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Solution Overview
Problem
Existing navigation systems rely on external radiating inputs or require multiple sensors and initial known points, making them unreliable and inefficient in terms of size, cost, and energy usage.
Innovation Solution
A self-contained navigation system using at least one sensor to acquire skyline view samples, a memory device for storing Digital Terrain Map (DTM) data, and a processor to compare these samples with DTM data for auto-positioning, which can determine location without external inputs or multiple sensors, and is implemented in a single device for efficient navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS or external radiating inputs are used for navigation, then location accuracy is improved, but reliability deteriorates because external inputs are not always available
Solution Approach 1:
The system uses the device's own sensor data (accelerometer, gyroscope, compass) and stored map data to determine location, without requiring external services. The processor compares sensor-derived position information with map data to calculate current location autonomously, making the system self-sufficient and reliable without external GPS signals.
2Measurement precision
If multiple sensors are used to improve navigation accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses a single sensor (accelerometer, gyroscope, or compass) that can serve multiple functions. The same sensor data is used for both determining position and calculating azimuth/direction, eliminating the need for separate sensors and reducing overall system complexity while maintaining navigation accuracy.
3Measurement precision
If multiple sensors and processors are used to achieve accurate positioning, then measurement precision is improved, but size and cost increase
Solution Approach 1:
The system combines the functions of multiple sensors and processors into a single integrated device. The processor simultaneously handles sensor data acquisition, position calculation, azimuth determination, and map data comparison, reducing the number of separate components and minimizing device size and cost.
4Measurement precision
If multiple sensors are deployed for navigation, then measurement precision is improved, but energy consumption increases
Solution Approach 1:
The system uses only the minimum necessary sensor data required for accurate positioning and azimuth calculation. Rather than continuously activating multiple sensors, the processor selectively uses data from a single active sensor along with stored map data, reducing energy consumption while maintaining sufficient navigation precision.
Data Source
AI summary
The present invention relates to an auto locating system for finding the location of a viewpoint comprising: (a) at least one sensor for acquiring samples of the skyline view of said viewpoint; (b) at least one memory device, for storing Digital Terrain Map (DTM) related data; (c) at least one processor for processing said samples of said skyline view from said at least one sensor and for comparing the data derived from said samples with the data calculated from said DTM data for finding the location of said viewpoint; and (d) at least one output for outputting the location of said viewpoint.