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Flying Chameleons: A New Concept for Minimum-Deployment, Multiple-Target Tracking Drones.

Manuel Vargas¹, Carlos Vivas¹, Francisco R Rubio^1,2

¹Department of Automation and Systems Engineering, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain.

Sensors (Basel, Switzerland)

|March 26, 2022

Summary

This summary is machine-generated.

This study explores using multiple steerable cameras on aerial agents for surveillance. This enables novel optimization strategies for efficient target tracking, adapting optical range for better performance.

Keywords:

aerial surveillance autonomous agent multi-camera tracking optimization strategies

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Area of Science:

Robotics
Computer Vision
Optimization Algorithms

Background:

Current autonomous aerial surveillance and target tracking systems lack novel approaches.
The potential of integrating multiple steerable cameras on aerial agents remains underexplored.

Purpose of the Study:

To investigate the implications of mounting multiple steerable cameras on aerial agents for surveillance and target tracking.
To explore how optimization algorithms can leverage this new framework for enhanced efficiency and cost-effectiveness.

Main Methods:

Introduced multiple steerable cameras with variable focal lengths as an additional degree of freedom.
Adapted the concept of distance to 'optical range,' allowing trade-offs between Euclidean distance and focal length.
Developed optimization indices balancing viewpoint verticality and optical range to targets.

Main Results:

Proposed and evaluated several novel positioning strategies for aerial agents with multiple cameras.
Demonstrated the potential for more efficient surveillance and target tracking solutions.

Conclusions:

Mounting multiple steerable cameras offers new possibilities for autonomous aerial surveillance.
Optimization algorithms can be effectively adapted to this multi-camera framework for improved performance.