You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Cooperative Search and Rescue with Drone Swarm

Authors:

Luiz Giacomossi , Nils Sundelius, José F. B. Brancalion , Marcos R. O. A. Maximo , Peter Funk, Rickard Sohlberg Dr H.C.

Publication Type:

Conference/Workshop Paper

Venue:

7th International Congress and Workshop on Industrial AI and eMaintenance


Abstract

Unmanned Aerial Vehicle (UAV) swarms, also known as drone swarms, have been a subject of extensive research due to their potential to enhance monitoring, surveillance, and search missions. Coordinating several drones flying simultaneously presents a challenge in increasing their level of automation and intelligence to improve strategic organization. To address this challenge, we propose a solution that uses hill climbing, potential fields, and search strategies in conjunction with a probability map to coordinate a UAV swarm. The UAVs are autonomous and equipped with distributed intelligence to facilitate a cooperative search application. Our results show the effectiveness of the swarm, indicating that this approach is a promising approach to addressing this problem.

Bibtex

@inproceedings{Giacomossi6726,
author = {Luiz Giacomossi and Nils Sundelius and Jos{\'e} F. B. Brancalion and Marcos R. O. A. Maximo and Peter Funk and Rickard Sohlberg Dr H.C.},
title = {Cooperative Search and Rescue with Drone Swarm},
month = {July},
year = {2023},
booktitle = {7th International Congress and Workshop on Industrial AI and eMaintenance},
url = {http://www.es.mdu.se/publications/6726-}
}