Aerial Projection Zone Selection for Moving Crowd Visibility
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Solution Overview
Problem
Autonomous aerial vehicles (AAVs) face challenges in identifying optimal projection areas for projecting informational data to multiple recipients in crowded environments, as existing methods lack efficiency in dynamically adjusting to changing positions and orientations of targets while avoiding obstacles and ensuring clear visibility.
Innovation Solution
An AAV processing system determines candidate projection areas by analyzing imaging sensor data to select the most suitable zone for projecting information, considering factors like visibility, obstruction-free space, and target orientation, and adjusts projections dynamically based on the movement of the target audience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the AAV projects informational data in crowded environments, then the information can reach multiple recipients, but the difficulty of detecting and measuring optimal projection areas increases
Solution Approach 1:
The system segments the environment into multiple candidate projection areas by analyzing imaging sensor data to identify distinct regions with different visibility characteristics. This allows the AAV to evaluate and select the most appropriate projection zone among several options, each suitable for different recipient groups or viewing angles.
Solution Approach 2:
The system dynamically adjusts projection area selection based on real-time detection of target positions and orientations. As recipients move or change their viewing angles, the AAV continuously re-evaluates and transitions between candidate projection areas to maintain optimal visibility, making the projection system adaptive to dynamic environmental conditions.
2Reliability
If the AAV continuously adjusts projection zones based on target movement, then visibility is maintained, but the complexity of the control system increases
Solution Approach 1:
The system performs preliminary analysis of the environment to pre-identify multiple candidate projection areas before actual projection begins. By preparing these candidate zones in advance based on static environmental features and expected target positions, the system reduces the computational burden during real-time operation, as it only needs to select from pre-validated options rather than analyzing the entire environment continuously.
Solution Approach 2:
The system implements feedback mechanisms where the imaging sensors continuously monitor target positions and orientations, and this information feeds back to the projection control system. The system uses this feedback to automatically adjust between pre-identified candidate projection areas, maintaining visibility without requiring complex real-time recalculations of projection geometry.
3Ease of operation
If the AAV selects projection areas based on target orientation, then communication effectiveness improves, but the time required to identify optimal zones increases
Solution Approach 1:
The system applies local quality analysis by evaluating specific regions of the environment based on their suitability for projection to particular target orientations. Each candidate projection area is characterized by its optimal viewing angles and recipient capacity, allowing the system to quickly match targets with appropriate zones without analyzing the entire environment uniformly.
Solution Approach 2:
The system pre-categorizes candidate projection areas according to their suitability for different target orientations and recipient configurations. This preliminary classification allows for rapid selection when targets are detected, as the system can directly query pre-evaluated zones rather than performing full optimization calculations in real-time.
Data Source
AI summary
A processing system of an autonomous aerial vehicle including at least one processor may determine informational data to present for at least one person, capture at least a first image via at least one imaging sensor of the autonomous aerial vehicle in a vicinity of the at least one person and determine a first position and a first orientation of the at least one person. The processing system may then identify, based upon the first position and the first orientation of the at least one person, a plurality of candidate projection areas, each candidate projection area comprising a contiguous area within the at least the first image that is deemed to be visible to the at least one person, select one of the plurality of candidate projection areas as a projection zone, and project the informational data on the projection zone via a projector.