Augmented Reality Navigation Using Sensor Data and Queue Information
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Solution Overview
Problem
Existing systems fail to provide dynamic information and intuitive navigation to multiple destinations, especially in crowded locations with competing types of venues, making it difficult for users to select and reach their desired destination.
Innovation Solution
A mobile device-based augmented reality system that uses sensor data and location information to generate images, allowing users to select a destination and combine images to create an augmented reality view, enabling dynamic information and intuitive navigation through queue information and group attendees based on affinity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple destinations are provided in crowded locations, then information completeness is improved, but user difficulty in selecting and navigating to destinations increases
Solution Approach 1:
The patent overlays digital destination information onto the real-world view through augmented reality, adding a digital dimension to the physical environment. This allows multiple destinations to be visualized simultaneously in their spatial context without requiring users to process extensive text lists, thereby maintaining information completeness while improving ease of selection and navigation.
Solution Approach 2:
The system uses different colors to encode destination types and queue status information. Users can quickly distinguish between different destination categories and identify which destinations have shorter queues through color-coded indicators, enabling rapid scanning and selection without reading detailed information about each destination.
2Reliability
If queue information is provided for multiple destinations, then decision-making quality is improved, but information processing complexity increases
Solution Approach 1:
The system extracts only the most critical decision-making information (queue length, destination type, current status) and presents it prominently in the augmented reality view. Less critical details are either omitted or made available on-demand, reducing the cognitive load required to process information while maintaining the quality of destination selection decisions.
Solution Approach 2:
The system pre-processes and organizes destination information before presentation to users, including calculating queue lengths, categorizing destinations by type, and determining optimal routing. This preliminary organization occurs server-side and in the mobile device before the user views the information, reducing the complexity of real-time information processing required during destination selection.
Data Source
AI summary
Embodiments relate to using sensor data and location data from a device to generate augmented reality images. A mobile device pose can be determined (a geographic position, direction and a three dimensional orientation of the device) within a location. A type of destination in the location can be identified and multiple destinations can be identified, with the mobile device receiving queue information about the identified destinations from a server. A first image can be captured. Based on the queue information, one of the identified destinations can be selected. The geographic position of each identified destination can be identified, and these positions can be combined with the mobile device pose to generate a second image. Finally, an augmented reality image can be generated by combining the first image and the second image, the augmented reality image identifying the selected one destination.