Vehicle Positioning in GPS-Shaded Areas Using UWB Nodes
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Solution Overview
Problem
Existing GPS-based positioning methods for vehicles in shaded areas, such as tunnels and underground roads, suffer from significant data errors and require costly infrastructure installations and usage fees.
Innovation Solution
A vehicle and node positioning method utilizing ultra-wideband (UWB) communication among nodes to calculate relative positions, combined with GPS information, precision map data, and dead reckoning algorithms, to determine positions in GPS-shaded areas without fixed infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed infrastructure is installed in GPS-shaded areas to measure vehicle position precisely, then positioning precision is improved, but installation costs and usage fees increase
Solution Approach 1:
The patent enables vehicles to perform self-positioning in GPS-shaded areas by using their own sensors (cameras, gyroscopes, odometers) and processing images of road markings and surrounding environments. This eliminates the need for external fixed infrastructure installation, allowing vehicles to determine their own positions autonomously while maintaining acceptable positioning accuracy.
Solution Approach 2:
The patent creates a universal positioning system that works both in GPS-available areas (using GPS) and GPS-shaded areas (using image processing and sensor fusion). The system adapts its positioning method based on GPS signal availability, providing continuous positioning capability across all environments without requiring separate infrastructure for different regions.
2Ease of manufacture
If moving objects use gyro devices and camera image processing for positioning, then infrastructure installation cost is reduced, but positioning data error increases
Solution Approach 1:
The patent combines multiple positioning methods (GPS, gyro device, camera image processing, odometer) into a unified sensor fusion system. By merging these different sensing approaches and using algorithms to integrate their data, the system achieves positioning accuracy that compensates for the limitations of individual sensors, particularly in GPS-shaded areas where image processing and gyro data are fused with other sensor inputs.
Solution Approach 2:
The patent introduces map information and road marking recognition as intermediary elements that bridge the gap between sensor data and accurate positioning. By recognizing road markings and comparing them with pre-stored map information, the system creates an additional reference framework that enhances positioning accuracy without requiring expensive fixed infrastructure.
3Ease of operation
If GPS signals are used for vehicle positioning, then positioning simplicity is maintained, but positioning capability is lost in shaded areas
Solution Approach 1:
The patent implements a dynamic positioning system that automatically switches between GPS-based positioning and sensor fusion-based positioning depending on GPS signal availability. The system monitors GPS signal strength and seamlessly transitions to alternative positioning methods when entering GPS-shaded areas, maintaining continuous positioning capability without requiring manual intervention or system reconfiguration.
Data Source
AI summary
A vehicle includes a signal transmission part configured to transmit a signal for wireless network connection to an outside of a shaded area where a GPS signal is not received based on the vehicle having entered the shaded area. A positioning part is configured to communicate with a vehicle located outside the shaded area, to receive the signal, and to calculate a relative position of the vehicle. A first position correction part is configured to correct a current position of the vehicle based on a number of vehicles included in the other vehicle that have received the signal. A second position correction part is configured to correct the current position of the vehicle after passing through the shaded area based on location information of the vehicle in the shaded area and GPS information of the vehicle after passing through the shaded area.