AR Content Projection Adjustment for Clear Depth Visualization
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Solution Overview
Problem
Current augmented reality (AR) systems for vehicle navigation struggle to effectively visualize virtual content objects in a way that maintains clarity and depth perception as the distance between the user and the object changes, leading to potential visibility issues and distortion.
Innovation Solution
A processor-implemented method that adjusts virtual content objects based on their shape projected onto a projection plane by setting reference points and axes, deforming, and rotating them to maintain a target height-to-width ratio and prevent flat visualization, ensuring the content remains visible and clear at varying distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual content objects are visualized at fixed size and orientation, then device complexity is reduced, but visibility and depth perception deteriorate as distance changes
Solution Approach 1:
The virtual content object is dynamically adjusted in size and orientation based on the user's distance and viewing angle. The processor calculates the appropriate scaling factor and rotation angle in real-time to maintain optimal visibility and depth perception as the user moves, transforming the static display into a dynamic adaptive system.
Solution Approach 2:
The system changes key parameters of the virtual content object including its size (scaling factor), orientation (rotation angle), and position based on detected user distance and viewpoint. These parameter adjustments ensure the content remains clearly visible and maintains proper depth perception regardless of user movement.
2Reliability
If virtual content objects are enlarged to improve visibility, then visibility improves, but distortion increases
Solution Approach 1:
The system applies a scaling factor to uniformly enlarge the virtual content object while maintaining its aspect ratio and proportional dimensions. This controlled parameter change ensures visibility is improved without introducing distortion, as the object is scaled evenly in all dimensions rather than stretched or compressed.
3Reliability
If virtual content objects are adjusted dynamically based on user distance, then depth perception is maintained, but processing complexity increases
Solution Approach 1:
The system uses feedback from distance detection sensors or camera-based depth estimation to continuously monitor user position. This feedback information is fed back to the processor, which automatically adjusts the virtual content object's size and orientation to maintain proper depth perception, creating a closed-loop adaptive system.
Solution Approach 2:
The virtual content object transitions from a static representation to a dynamic one that automatically adapts its visual properties based on real-time user distance measurements. This dynamic adjustment maintains accurate depth perception without requiring complex manual intervention.
4Reliability
If virtual content objects are rotated to match user viewpoint, then clarity is maintained, but computational requirements increase
Solution Approach 1:
The system calculates a rotation angle based on the user's viewpoint and applies this single angular parameter to rotate the virtual content object. This efficient parameter change approach maintains clarity by orienting the content toward the user while requiring minimal computational resources compared to more complex transformation methods.
Data Source
AI summary
A processor-implemented method includes adjusting a virtual content object based on a shape of the virtual content object projected onto a projection plane; and visualizing the adjusted virtual content object on the projection plane.