Hovering Drone Position Control for Mediated Reality Interaction
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Solution Overview
Problem
Current technologies for dynamic control of hovering drones in mediated reality environments lack effective mechanisms to adjust the drone's location based on user interaction and content characteristics, leading to suboptimal user experience in terms of visual and auditory feedback.
Innovation Solution
An apparatus comprising a processor configured to render mediated reality content on a hovering drone, dynamically adjust its location relative to the user based on characteristics such as the importance of visual and aural content, and detect user inputs like touch and gestures, ensuring optimal interaction and feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the drone hovers closer to the user for better visual content delivery, then visual quality improves, but auditory quality deteriorates due to increased drone noise
Solution Approach 1:
The patent implements dynamic position adjustment of the hovering drone based on real-time detection of user interaction state. When visual interaction is detected, the drone moves closer to improve visual quality; when audio playback is detected, the drone moves away to reduce noise interference. This dynamic adaptation resolves the contradiction between visual and auditory quality requirements.
Solution Approach 2:
The system changes the positional parameters of the drone (distance and orientation relative to user) based on the type of content being delivered. By adjusting these parameters dynamically according to content characteristics (visual vs. auditory), the system optimizes both visual and auditory experience without permanent compromise.
2Device complexity
If the drone maintains a fixed position, then system complexity is reduced, but user interaction quality deteriorates
Solution Approach 1:
The drone system performs self-adjustment of its position based on automatic detection of user interaction states through sensors. The system independently determines when to move closer for visual interaction or farther for audio playback without requiring manual user commands, thereby maintaining simple operation while improving interaction quality.
Solution Approach 2:
The system incorporates sensor feedback mechanisms to detect user interaction states (visual attention, audio playback, gestures). This feedback loop enables automatic position adjustment, resolving the contradiction by adding intelligence rather than mechanical complexity to improve user interaction.
3Illumination intensity
If the drone moves dynamically to follow user point of view, then visual experience improves, but system reliability deteriorates due to movement constraints
Solution Approach 1:
The drone implements dynamic position adjustment that adapts to user behavior (following point of view during visual interaction). This controlled dynamics improves visual experience while the system monitors and respects operational constraints to maintain reliability.
Solution Approach 2:
The system preemptively adjusts drone position to prevent violations of movement constraints. By anticipating boundary conditions and operational limits, the system avoids unreliable states while maintaining dynamic visual following capability within safe operating parameters.
Data Source
Figure 1A~2B
Figure 1C~3B
Figure 4~6B
AI summary
Apparatus, a method and a computer program are provided. The apparatus comprises means for causing rendering of mediated reality content to a user, wherein the mediated reality content comprises virtual visual content rendered on a display of a hovering drone. The apparatus also comprises means for determining a real location of the user in real space. The apparatus further comprises means for dynamically adjusting a real location of the hovering drone, relative to the determined real location of the user, based at least in part on at least one characteristic of the mediated reality content rendered to the user.