AAV Projection Zone Selection Using Pedestrian Orientation Feedback
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Solution Overview
Problem
Current autonomous aerial vehicle (AAV) systems lack the capability to efficiently identify and select optimal projection areas for projecting informational data to individuals or groups, particularly in dynamic environments with varying pedestrian densities and orientations.
Innovation Solution
The system employs a processing system on the AAV to capture images using imaging sensors, determine the positions and orientations of individuals or groups, and identify candidate projection areas within the captured images. These areas are then evaluated based on visibility, size, and surface characteristics to select the most suitable projection zone for projecting informational data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the AAV projects informational data in fixed or pre-determined zones, then the projection system is simple to operate, but the projection may not be visible to the target audience in dynamic environments with varying pedestrian densities and orientations
Solution Approach 1:
The projection zone is made dynamic by continuously adjusting its location and characteristics based on real-time detection of pedestrian positions, densities, and orientations. The system transitions from static pre-determined zones to dynamic zones that adapt to changing environmental conditions, resolving the contradiction between operational simplicity and environmental adaptability.
Solution Approach 2:
The system implements feedback by using imaging sensors to detect pedestrian characteristics and using this information to adjust the projection zone selection. This closed-loop control enables the system to adapt to dynamic environments while maintaining automated operation, balancing adaptability with ease of operation.
2Measurement precision
If the AAV uses complex image processing to identify multiple candidate projection areas and select optimal zones, then the projection visibility to target audience is maximized, but the computational complexity and processing time increase
Solution Approach 1:
The image processing task is segmented into distinct stages: candidate projection area identification, evaluation against multiple criteria, and optimal zone selection. This segmentation allows the complex processing to be broken down into manageable steps, improving selection accuracy while organizing system complexity into modular components.
Solution Approach 2:
The system performs preliminary identification of multiple candidate projection areas before selecting the optimal zone. This preliminary action filters out unsuitable areas early in the process, reducing the computational burden of the final selection while ensuring thorough evaluation of potential projection zones.
3Reliability
If the AAV continuously captures images and re-evaluates projection zones in real-time, then the projection remains optimized for current pedestrian conditions, but the energy consumption and processing load increase
Solution Approach 1:
The system uses periodic action by capturing images at regular intervals and re-evaluating projection zones at scheduled moments rather than continuously. This periodic updating maintains reliable projection optimization for changing pedestrian conditions while reducing energy consumption and processing load compared to continuous real-time evaluation.
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.