GPS Location Precision via Vehicle-Vehicle Data Comparison
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Solution Overview
Problem
Conventional GPS systems have significant errors in determining the location of opposing vehicles, which limits their precision and makes it difficult to use them for vehicle safety technologies, especially when the reference station is far away, leading to increased errors in distance measurements and computational inaccuracies.
Innovation Solution
A method that involves receiving GPS raw and post-processing data from both vehicles, comparing them to determine if an opposing vehicle is within a predetermined range, and calculating proximity using common data, either from raw or post-processing data, to improve location precision through vehicle-vehicle communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional GPS information is used for detecting opposing vehicle location, then the detection range is sufficient, but the measurement precision deteriorates due to large errors (5-30m)
Solution Approach 1:
The patent introduces an intermediary calculation process that uses multiple GPS satellite measurements and reference station data to mediate between the raw GPS signals and the final location determination. By incorporating data from multiple satellites and using reference stations as intermediaries to correct errors, the system achieves higher precision than conventional single-receiver GPS while maintaining reliable operation across wide areas.
Solution Approach 2:
The patent combines multiple sources of GPS data including raw measurements from multiple satellites, post-processing data from the own vehicle, and reference station information into a unified calculation framework. This merging of multiple data streams allows error cancellation and improves overall measurement precision while maintaining system reliability.
2Area of stationary object
If reference station distance increases, then the service coverage area expands, but measurement precision deteriorates due to increased errors
Solution Approach 1:
The patent transitions from two-dimensional error accumulation (distance-based) to three-dimensional error correction by incorporating vertical satellite geometry and multiple reference points. By utilizing satellite positions in three-dimensional space and calculating geometric relationships, the system maintains precision regardless of horizontal distance from reference stations, effectively adding a spatial dimension to error correction.
Solution Approach 2:
The patent changes the parameters used for location calculation from simple distance-based corrections to multi-parameter calculations involving satellite elevation angles, azimuths, and geometric dilution of precision (GDOP) factors. By dynamically adjusting calculation parameters based on satellite geometry and reference station distribution, the system maintains high precision across expanded coverage areas.
3Measurement precision
If multiple sensors and controllers are installed for collision detection, then the detection capability improves, but device complexity increases making commercialization difficult
Solution Approach 1:
The patent makes the GPS receiver perform multiple functions: it not only determines the own vehicle's location but also calculates opposing vehicle locations, detects collision risks, and provides navigation information. By making the GPS system universal and multi-functional, the patent improves detection capability without adding separate sensors or controllers, thereby reducing overall system complexity.
Solution Approach 2:
The GPS receiver performs self-service by automatically calculating opposing vehicle locations and collision risks using its own received satellite data and stored reference information. The system processes its own raw measurements, applies error corrections using embedded reference station data, and generates safety alerts without requiring external sensor inputs or complex controller networks, simplifying the overall system architecture.
Data Source
AI summary
A method of detecting a location of an opposing vehicle using Global Positioning System (GPS) information in which pieces of GPS raw data and pieces of GPS post-processing data of a driver's vehicle and of an opposing vehicle are received. It is determined using the received GPS post-processing data whether the opposing vehicle is a vehicle that has entered a predetermined range. If it is determined that the opposing vehicle is a vehicle that has entered the predetermined range, it is determined whether common data is present in the pieces of GPS raw data of the driver's vehicle and of the opposing vehicle by comparing the pieces of GPS raw data with each other. A degree of proximity to the opposing vehicle is using the common data in the pieces of GPS raw data of the driver's vehicle and the opposing vehicle.