GNSS and AR Cloud Anchor Navigation Transition
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Solution Overview
Problem
Current navigation systems are inadequate for seamless navigation both inside and outside buildings, particularly due to dependence on constant environmental conditions and limitations in detecting cloud space anchors under changing weather, and they fail to provide smooth transitions between GNSS and cloud space anchor navigation.
Innovation Solution
A method and system that utilizes a global navigation satellite system (GNSS) in conjunction with augmented reality cloud space anchors, enabling navigation by defining a transition zone around a predefined point, automatically switching between GNSS and cloud space anchor navigation, and creating a network of bidirectional connections between cloud space anchors to guide users around obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud space anchor navigation is used, then navigation can be provided indoors and outdoors, but the system fails under changing environmental conditions such as weather changes
Solution Approach 1:
The navigation system is segmented into multiple independent components: GNSS satellite signals for outdoor positioning and visual feature point detection for indoor/obstacle navigation. Each segment operates independently and can be activated based on environmental conditions, ensuring reliable navigation regardless of weather changes affecting either system alone.
Solution Approach 2:
The patent combines two different navigation technologies (GNSS and visual feature-based AR navigation) into a composite navigation system. This composite approach leverages the strengths of each system while compensating for their individual weaknesses, particularly regarding environmental sensitivity.
2Ease of operation
If transition zone monitoring is implemented, then seamless transition between navigation types is achieved, but system complexity increases
Solution Approach 1:
The system pre-defines transition zones with specific entry and exit conditions before navigation begins. By establishing these transition parameters in advance, the system avoids complex real-time decision-making algorithms, reducing computational complexity while ensuring smooth transitions between GNSS and AR navigation modes.
3Reliability
If automatic cloud space anchor placement is enabled, then navigation reliability in changing environments improves, but processing time and computational resources increase
Solution Approach 1:
The system performs automatic cloud space anchor placement selectively rather than continuously - specifically when entering transition zones or when navigation reliability is compromised. This partial action approach maintains high reliability while minimizing unnecessary processing time and computational resource consumption during stable navigation conditions.
Data Source
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AI summary
A method and system for enabling navigation using a global navigation satellite system (GNSS) and cloud spatial anchors are described. The method and system are configured to navigate a mobile user device (408) to a specified destination using GNSS, to monitor whether the mobile user device (408) enters a predefined transition zone (503, 702) defined around a predefined selectable transition point (501, 701), and, upon detection that the mobile user device (408) has entered the predefined transition zone (503, 702), to initiate navigation of the mobile user device (408) to the destination using cloud spatial anchors (201, 705). The method and system enable a seamless transition between navigation using GNSS and navigation using cloud spatial anchors.The method and system can further include the creation of a graph (504) based on bidirectional connections (202, 204) between cloud space anchors (201, 705) for navigation along the shortest path and a procedure for automatic renewal of cloud space anchors to enable reliable navigation using cloud space anchors even in changing environments, including outdoors.