Indoor Navigation via Sensor Signal Replication
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Solution Overview
Problem
Current navigation technologies face challenges in implementing indoor navigation due to the lack of indoor maps and immature indoor positioning systems, resulting in low positioning accuracy and limited availability of indoor navigation solutions.
Innovation Solution
A navigation method and device that utilize pre-stored navigation data to provide navigation instructions without the need for maps or positioning, using location data obtained from wireless signals and sensor signals, such as geomagnetic, light, or pneumatic signals, to guide users within specific areas, including areas with multiple paths and intersections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If indoor navigation is implemented using traditional map-based path planning, then navigation functionality can be provided, but the system requires indoor maps and positioning systems that are currently unavailable or inaccurate
Solution Approach 1:
The patent creates a virtual copy of the physical environment by recording sensor signals (wireless, optical, acoustic, tactile) at multiple locations and constructing a three-dimensional model. This virtual model allows navigation without requiring actual indoor maps or precise positioning systems, as the system navigates through the replicated environmental data rather than relying on traditional mapping infrastructure
Solution Approach 2:
The patent introduces sensor signals as intermediaries between the user and the environment. Instead of directly requiring map data or positioning coordinates, the system uses recorded sensor signals from wireless nodes, optical sensors, acoustic sensors, and tactile sensors as mediators to determine location and navigate, thereby avoiding the need for traditional positioning infrastructure
2Ease of operation
If traditional map-based navigation is used, then path planning can be provided, but the system complexity increases due to requirements for map data collection and positioning infrastructure
Solution Approach 1:
The patent enables the navigation system to collect and process its own operational data. The terminal device records sensor signals during navigation operations and uses this self-collected data to build the three-dimensional model and generate navigation instructions, eliminating the need for external map data collection systems or complex positioning infrastructure
Solution Approach 2:
The patent replaces traditional mechanical map-based navigation systems with a sensor signal-based virtual navigation system. Instead of relying on physical maps and positioning hardware, the system substitutes these with electronic sensor recordings and three-dimensional digital representations, thereby reducing overall system complexity while maintaining navigation functionality
3Measurement precision
If indoor maps are collected using special-purpose measurement instruments, then accurate mapping can be achieved, but the measurement workload and time required increase significantly
Solution Approach 1:
The patent makes existing terminal devices (smartphones, tablets) with their built-in sensors serve multiple functions: they not only perform navigation but also collect environmental data for map construction. The same device that will navigate uses its wireless, optical, acoustic, and tactile sensors to record environmental information, eliminating the need for separate specialized measurement instruments and reducing both time and resource requirements
Data Source
AI summary
A navigation method including obtaining location data of a current location of a terminal, obtaining location data of a destination, where first location data in pre-stored navigation data matches the location data of the current location, and second location data in the pre-stored navigation data matches the location data of the destination, outputting a first navigation instruction when a relationship between the first location data and the second location data is the same as a preset relationship between a current location and a destination, and outputting a second navigation instruction if a relationship between the first location data and the second location data is opposite to a preset relationship between a current location and a destination.