Geographic AR Pose Confidence Switching for Low-Accuracy Localization
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Solution Overview
Problem
Augmented reality applications require pinpoint user location accuracy, which can be difficult to achieve and results in long setup times and frequent timeouts, limiting effective use.
Innovation Solution
A geographic augmented reality system that operates in two states: low accuracy (instant mode) and high accuracy, using sensor data to determine pose confidence levels and adaptively present AR content accordingly, including directional indicators and precise location markers based on state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system requires pinpoint accuracy for user location, then the measurement precision is improved, but the time to present AR content increases and user frustration increases
Solution Approach 1:
The patent segments the AR presentation into two distinct modes: high accuracy mode requiring precise user localization and low accuracy mode providing immediate presentation. This segmentation allows the system to offer immediate AR content in low accuracy mode while still providing precise content in high accuracy mode, resolving the contradiction between measurement precision and time loss.
Solution Approach 2:
The system provides partial AR functionality in low accuracy mode, presenting AR content with approximate positioning rather than precise positioning. This partial action allows the system to deliver useful AR content immediately without requiring full precision, thereby reducing the time penalty associated with waiting for accurate localization.
2Measurement precision
If the system requires precise user localization before presenting AR content, then the measurement precision is improved, but the ease of operation deteriorates due to difficult user steps
Solution Approach 1:
The patent divides the operation into two pathways: users can immediately access AR content in low accuracy mode without performing localization steps, or they can choose to enter high accuracy mode by pointing the camera at landmarks. This segmentation eliminates the mandatory difficult steps for most users while preserving the option for high precision when needed.
Solution Approach 2:
The low accuracy mode provides a temporary, approximate solution that is sufficient for immediate use, while the high accuracy mode with its complex localization steps acts as an optional enhancement. This approach treats precise localization as an optional feature rather than a requirement, improving ease of operation for the majority of users.
3Measurement precision
If the system waits for high accuracy localization, then the measurement precision is improved, but the productivity decreases due to long setup times
Solution Approach 1:
The patent segments AR content presentation into immediate low accuracy presentations and delayed high accuracy presentations. This allows the system to maintain high productivity by immediately presenting content in low accuracy mode while still providing the option for high accuracy mode, effectively eliminating the productivity penalty of waiting for localization.
Solution Approach 2:
The system performs preliminary AR content presentation in low accuracy mode before completing high accuracy localization. This preliminary action ensures that productivity is not lost during the localization process, as useful AR content is already being presented while the system works toward achieving high accuracy.
4Adaptability or versatility
If the system uses multiple sensors for pose determination, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The patent dynamically switches between different levels of sensor utilization: in low accuracy mode, the system uses basic sensor data for immediate presentation, while in high accuracy mode, it employs more sophisticated sensor fusion and camera-based localization. This dynamic approach allows the system to adapt to different accuracy requirements without permanently increasing device complexity.
Solution Approach 2:
The system applies different quality levels of sensor processing to different operational modes: approximate sensor fusion for low accuracy mode and comprehensive multi-sensor fusion for high accuracy mode. This local quality approach allows the system to utilize multiple sensors adaptively without requiring all sensors to operate at full complexity always.
Data Source
AI summary
To present augmented reality features without localizing a user, a client device receives a request for presenting augmented reality features in a camera view of a computing device of the user. Prior to localizing the user, the client device obtains sensor data indicative of a pose of the user, and determines the pose of the user based on the sensor data with a confidence level that exceeds a confidence threshold which indicates a low accuracy state. Then the client device presents one or more augmented reality features in the camera view in accordance with the determined pose of the user while in the low accuracy state.