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Particle-Swarm-Optimization

This repository is for multi-UAVs optimization for path planning with the area priority.

Surveillance

The drones use Surveillance area importance (SAI) values to investigate/surveil areas with high importance values. If anything comes in the area, the SAI values get updated and drones move quickly to investigate that area first. The drones use particle swarm optimization to plan their path ensuring the shortest path and avoiding collision.

Citing this work

If you are using our implementation, you are encouraged to cite our paper.


@incollection{mughal2022uavs,
  title={UAVs path planning by particle swarm optimization based on visual-SLAM algorithm},
  author={Mughal, Umair Ahmad and Ahmad, Ishtiaq and Pawase, Chaitali J and Chang, KyungHi},
  booktitle={Intelligent Unmanned Air Vehicles Communications for Public Safety Networks},
  pages={169--197},
  year={2022},
  publisher={Springer}
}