Flight testing of a multiple UAV RF emission and vision based target localization method

Ömer Herekoğlu, Mehmet Hasanzade, Emre Saldıran, Aykut Çetin, İrem Özgür, Abdulkadir G. Küçükoğlu, Mehmet B. Üstün, Burak Yüksek, Ramazan Yeniçeri, Emre Koyuncu, Gökhan İnalhan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


In this paper, we present the flight tests of a solution for finding and localizing a radio frequency emitting target using multiple autonomous unmanned aerial vehicles. The method relies on Particle Filter and Extended Kalman Filter algorithms based on signal strength tracking. After estimation, vision-based detection is used in order to improve the localization. The proposed solution is first tested on an in-house developed software-in-the-loop system and then, radio frequency signal strength measurement tests and vision-based object detection tests are conducted in flight tests. Outdoor flight tests are performed and the results are presented with designed hardware and software architectures. The proposed solution meets of all operational requirements for the localization and the detection of the target.

Original languageEnglish
Title of host publicationAIAA Scitech 2019 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105784
Publication statusPublished - 2019
EventAIAA Scitech Forum, 2019 - San Diego, United States
Duration: 7 Jan 201911 Jan 2019

Publication series

NameAIAA Scitech 2019 Forum


ConferenceAIAA Scitech Forum, 2019
Country/TerritoryUnited States
CitySan Diego

Bibliographical note

Publisher Copyright:
© 2019 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.


Dive into the research topics of 'Flight testing of a multiple UAV RF emission and vision based target localization method'. Together they form a unique fingerprint.

Cite this