Smart Terminal Visual Navigation Positioning
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Solution Overview
Problem
Current navigation systems in smart terminals, such as smartphones and automotive navigation systems, face challenges in areas with many buildings or trees, where GPS signals are often weak or interrupted, leading to slow or unreliable positioning.
Innovation Solution
A full visual navigation positioning method that uses AGPS for initial positioning and then compares street view images with a 3D panorama map to quickly determine the user's location, enabling efficient navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GPS antenna design is improved, then positioning reliability improves, but device appearance design becomes more difficult
Solution Approach 1:
The patent combines multiple positioning methods (GPS, AGPS, and visual positioning) into a unified navigation system. The terminal device switches between different positioning modes based on signal conditions, merging the advantages of satellite-based positioning with visual scene matching to achieve reliable positioning without compromising device design.
Solution Approach 2:
The navigation system is designed to perform multiple positioning functions using different methods. It can use GPS for open areas, AGPS for urban canyons, and visual positioning for areas with blocked signals, making the system universally applicable across different environments without requiring specialized hardware for each scenario.
2Reliability
If GPS positioning is used in areas with many buildings or trees, then positioning function can be provided, but positioning speed becomes slow
Solution Approach 1:
The system dynamically switches between different positioning methods based on real-time signal conditions. When GPS signal strength is insufficient (indicative of urban canyon or tree-covered environments), the system transitions to visual positioning by capturing images and comparing them with map data, thereby maintaining positioning speed despite challenging environmental conditions.
Solution Approach 2:
The system changes the positioning parameter from satellite signal-dependent (GPS) to image-matching-dependent (visual positioning) when signal conditions deteriorate. This parameter change allows the system to maintain positioning functionality and speed in environments where traditional GPS would be slow or fail.
3Loss of time
If AGPS pre-positioning is performed, then positioning time is reduced, but network speed requirement increases
Solution Approach 1:
The system performs AGPS pre-positioning to obtain rough location information before initiating visual positioning. This preliminary action reduces the search space for image matching, thereby reducing overall positioning time. The system includes fallback mechanisms to handle cases where network conditions prevent AGPS from completing successfully.
4Speed
If visual positioning method is used, then positioning speed improves, but network speed requirement increases
Solution Approach 1:
The system dynamically adjusts the positioning method based on network conditions. When network speed meets the threshold requirement, it uses visual positioning for fast results. When network speed is insufficient, it switches to or supplements with AGPS/GPS methods, ensuring positioning reliability across varying network conditions.
Data Source
AI summary
A full-vision navigation and positioning method for a smart terminal is proposed. The smart terminal turns on a 3D full visual navigation and performs a network speed test. When a network speed is higher than or equal to a threshold value, the smart terminal turns on a camera to obtain images of a current street view and upload the images. The smart terminal compares the images with a 3D panorama map to feedback a current position and utilizes a 3D navigation system to continue navigation according to the current position.