Navigation Device Using Traffic Mark Analysis for Urban Positioning
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Solution Overview
Problem
Conventional navigation and positioning devices in urban areas face significant positioning errors due to satellite signal shielding by buildings, requiring additional expensive hardware to achieve accurate GPS positioning.
Innovation Solution
A navigation and positioning device that utilizes a camera, mark feature analyzer, and coordinate fusion components to analyze traffic marks and fuse device coordinates with inertial and GPS information, achieving high precision without additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional GPS positioning is used in urban areas, then the positioning system is simple and low-cost, but the positioning accuracy deteriorates to 3 meters due to satellite signal shielding by buildings
Solution Approach 1:
The patent introduces traffic marks as intermediary objects between the GPS satellite signals and the positioning system. By detecting and analyzing traffic marks in the environment, the system obtains additional positioning references that compensate for GPS signal shielding, achieving centimeter-level accuracy without adding complex hardware equipment
Solution Approach 2:
The patent replaces reliance on purely mechanical/electronic GPS hardware with an optical recognition system that uses camera-based traffic mark detection. This substitution allows the system to achieve high positioning accuracy by analyzing visual information from traffic marks rather than depending solely on satellite signals
2Measurement precision
If additional expensive hardware equipment is employed to increase positioning accuracy, then the positioning accuracy improves to meet automatic pilot requirements, but the device cost and complexity increase
Solution Approach 1:
The patent makes the traffic mark detection system serve multiple functions: it provides positioning information, validates GPS coordinates, and enables navigation guidance. By using existing camera hardware for multiple purposes, the system achieves high positioning accuracy without requiring dedicated expensive positioning hardware
Solution Approach 2:
The system uses freely available traffic marks in the urban environment as positioning references, rather than requiring paid or proprietary positioning infrastructure. The traffic marks already exist in the environment and are used to serve the positioning needs of the navigation system
Data Source
AI summary
A navigation and positioning device including a storage, a mark feature analyzer, a first coordinate fusion component and a second coordinate fusion component is provided. The storage stores map information including a traffic mark feature and its mark coordinate. The mark feature analyzer is used for analyzing whether a captured image has the traffic mark feature. When the captured image has the traffic mark feature, the mark feature analyzer analyzes the traffic mark feature in the captured image and calculates a device coordinate according to the mark coordinate. The first coordinate fusion component fuses the device coordinate and a first fusion coordinate and uses fused coordinate as a second fusion coordinate. The second coordinate fusion component fuses the second fusion coordinate, traffic carrier inertial information and a global positioning coordinate and uses fused coordinate as an updated first fusion coordinate.