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Trajectory Optimization in a Cooperative Aerial Reconnaissance Model.

Petr Stodola1, Jan Drozd2, Jan Nohel3

  • 1Department of Intelligence Support, University of Defence, 662 10 Brno, Czech Republic. petr.stodola@unob.cz.

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Summary

This study optimizes aerial reconnaissance using cooperating unmanned aerial vehicles (UAVs) by improving waypoint planning. A modified simulated annealing algorithm enhances UAV trajectories for more effective surveillance missions.

Keywords:
cooperative aerial reconnaissanceexperimentsoptimization of waypointssimulated annealingsimulationtrajectory optimizationunmanned aerial vehicles

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Area of Science:

  • Military Technology
  • Robotics and Automation
  • Operations Research

Background:

  • Modern military operations increasingly rely on advanced technology, with unmanned systems crucial for reconnaissance and surveillance.
  • Effective aerial reconnaissance planning is vital for mission success, requiring efficient area coverage and adherence to technical and tactical constraints.

Purpose of the Study:

  • To enhance an existing model for aerial reconnaissance planning using a fleet of cooperating unmanned aerial vehicles (UAVs).
  • To optimize the number and position of waypoints for improved UAV trajectories and increased operational efficiency.

Main Methods:

  • Development and application of a model for deploying waypoints to ensure full area exploration by a fleet of UAVs.
  • Implementation of a modified simulated annealing algorithm to optimize waypoint deployment.
  • Verification through experiments using benchmark problems and the SteelBeast simulation system.

Main Results:

  • The proposed optimization of waypoints demonstrably improves individual unmanned system trajectories.
  • The enhanced model leads to increased efficiency in reconnaissance operations.
  • Experimental results validate the effectiveness of the modified simulated annealing algorithm for waypoint optimization.

Conclusions:

  • Optimizing waypoint deployment using the proposed algorithm significantly enhances the effectiveness of aerial reconnaissance missions conducted by UAV fleets.
  • The study provides a validated method for improving the efficiency and performance of unmanned systems in military surveillance operations.