Indoor Map Vector Conversion to Anchor Points
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Solution Overview
Problem
Venues face difficulties in creating physically accurate indoor maps for mobile devices and desktop computers, making it challenging to provide interactive maps and navigation tools that guests demand.
Innovation Solution
A method and system for generating geolocation maps that involve receiving physical layout data, converting map vectors into anchor points, determining Bezier curves, comparing features with physical layout data, revising the map, and geolocating it on a world geodetic coordinate system, allowing for interactive and accurate venue mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If physical layout data is converted into map vectors and then into anchor points with Bezier curve processing, then the manufacturing precision of the indoor map is improved, but the device complexity increases
Solution Approach 1:
The patent segments the map generation process into distinct stages: receiving physical layout data, generating initial map vectors, converting vectors to anchor points, detecting Bezier curves, and comparing with original data. This segmentation allows each processing stage to be optimized independently, managing complexity while maintaining precision.
Solution Approach 2:
The patent performs preliminary conversion of map vectors into anchor points and identifies Bezier curves before final comparison with physical layout data. This preliminary processing ensures that complex transformations are completed upfront, allowing for verification and revision before final map generation, thus maintaining high precision.
2Reliability
If the venue map is revised multiple times to meet predetermined criteria, then the reliability of the map is improved, but the loss of time increases
Solution Approach 1:
The patent implements a feedback mechanism where the converted venue map is automatically compared with the original physical layout data, and revisions are made based on comparison results that fall outside predetermined thresholds. This automated feedback loop ensures reliability while minimizing manual intervention time.
Solution Approach 2:
The patent applies revisions only to specific portions of the map where comparison results indicate deviations beyond acceptable thresholds, rather than revising the entire map. This partial action approach maintains reliability for critical areas while reducing overall processing time.
3Measurement precision
If detailed physical layout data is received and processed, then the measurement precision is improved, but the quantity of data to be processed increases
Solution Approach 1:
The patent extracts only the essential features from detailed physical layout data to create map vectors and anchor points. By taking out only the necessary geometric and spatial information needed for indoor navigation, the system maintains high measurement precision while reducing the volume of data that requires processing and storage.
Data Source
AI summary
Exemplary methods and systems provide for production of geographically located, accurate indoor maps of physical spaces and provide navigation guidance for users in physical spaces, and process requests for users related to available physical space within said physical spaces. Aggregated information about the physical spaces is curated and converted using automated procedures into a data model that contains all elements of said physical spaces, including geographic data about the physical space's location on the globe. The system and computer program embodiments retrieve the converted data, load it on mobile devices or computers, rendering it on these devices in the correct global geographic context, allowing users to interact with the data to select rooms, and send and receive requests to and from external systems regarding these selections. Users navigate within the physical spaces using mobile devices and the computer program embodiments in tandem to provide accurate directions and guidance.