Hybrid Satellite Positioning Accuracy Mapping
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Solution Overview
Problem
The accuracy of position information calculation using global constellations like GPS can be affected by the ambient environment, particularly in areas with constructions, leading to decreased calculation accuracy.
Innovation Solution
An information processing system that receives signals from both a global constellation (e.g., GPS) and a local constellation (e.g., quasi-zenith satellite system), calculates position information, corrects errors using reinforcement signals, and estimates calculation accuracy for each road section, enabling the preparation of map data with accuracy mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If position information is calculated using only a global satellite constellation (e.g., GPS), then the system complexity is low and ease of operation is high, but the measurement precision deteriorates in areas with constructions such as buildings
Solution Approach 1:
The patent combines a global satellite constellation (GPS) with a local satellite constellation (quasi-zenith satellite system) to create a hybrid positioning system. This merging allows the system to leverage the broad coverage of GPS while utilizing the high-elevation angle advantage of QZSS satellites to penetrate building areas, thereby improving position information accuracy in construction-dense environments without requiring a complete system redesign
Solution Approach 2:
The positioning system is designed to receive and process signals from multiple satellite constellations simultaneously, making it universally applicable across different environmental conditions. The system can automatically switch between or combine GPS-only mode, QZSS-only mode, or hybrid mode depending on signal availability and environmental conditions, providing multi-functional adaptability that maintains low operational complexity while improving measurement precision
2Reliability
If map data with calculation accuracy mapping is prepared, then the reliability of navigation systems is improved, but the loss of time for data processing and analysis increases
Solution Approach 1:
The system pre-calculates and stores position information accuracy data for different road sections in advance, creating a lookup table of accuracy mappings before actual navigation occurs. This preliminary action allows the navigation system to quickly retrieve pre-computed accuracy information without performing complex real-time calculations, thereby improving navigation reliability while minimizing data processing time during active use
Solution Approach 2:
The system incorporates feedback mechanisms where actual positioning accuracy measurements are continuously collected from vehicles, compared against predicted accuracy values, and used to update and refine the accuracy mapping database. This feedback loop improves navigation reliability over time while the system learns to make more accurate predictions, reducing the need for extensive real-time data processing
Data Source
AI summary
An information processing system includes a server and a first vehicle acquiring a combination of first and second position information of the first vehicle. The first position information is calculated using a positioning signal from the first satellite system. The second position information is obtained by correcting an error of the first position information using a positioning reinforcement signal from the second satellite system. The first vehicle or the server calculates difference information between the first and second position information for each combination thereof. The server estimates a calculation accuracy for the first position information in a road section on a road map based on one or more pieces of difference information in which one or more positions indicated by the second position information corresponding to the difference information are within the road section and to output the calculation accuracy for the first position information in the road section.