Multi-GPS Coordinate Alignment for Accurate Vehicle Location Tracking
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Solution Overview
Problem
Existing vehicle navigation systems face inaccuracies in GPS location detection in areas with obscured sky views, such as indoors, tunnels, and densely built-up areas, necessitating additional data infrastructure and frequent updates, which complicates accurate vehicle location identification.
Innovation Solution
A vehicle control management system that collects GPS coordinates from multiple terminals, aligns them in a vehicle-based time sequence, and applies a GPS information simplification algorithm to exclude out-of-range coordinates, using algorithms like Ramer-Douglas-Peucker and LANG to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS signals are used for vehicle location identification, then vehicle location can be identified, but GPS accuracy deteriorates in areas with obscured sky views such as indoors, tunnels, and densely built-up areas
Solution Approach 1:
The patent combines GPS coordinates from multiple GPS terminals (smartphone, vehicle navigation terminal, vehicle black box terminal) into a unified location identification system. By merging data from multiple sources, the system achieves more reliable vehicle location identification even when individual GPS receivers fail in obscured sky view areas.
Solution Approach 2:
The control server acts as an intermediary that collects, aligns, and processes GPS coordinates from multiple terminals. It applies the Ramer-Douglas-Peucker algorithm to filter and simplify coordinates, removing outliers and reducing redundancy to produce accurate vehicle location data even when individual GPS signals are blocked.
2Measurement precision
If camera shooting information is used to improve GPS location accuracy, then location accuracy improves, but device complexity increases due to requiring large geographic information database and periodic updates
Solution Approach 1:
The patent extracts only the essential GPS coordinate data from multiple terminals and applies the Ramer-Douglas-Peucker algorithm to simplify and filter coordinates. This approach removes the need for large geographic information databases and periodic updates required by camera-based systems, achieving location accuracy without the associated complexity.
Data Source
AI summary
A vehicle control management system collecting operation information of multiple vehicles to control each vehicle includes, when collecting operation information of a vehicle, a vehicle information collection unit that collects each GPS coordinate from multiple GPS terminals inside the vehicle; and when receiving the operation information of the vehicle information collection unit through a wireless communication network, control server that aligns all received GPS coordinates in a vehicle-based time sequence, but aligns the GPS coordinates by excluding GPS coordinates that are out of a predetermined range, and simplifies the GPS coordinates by applying a preset GPS information simplification algorithm.