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Smart Search System of Autonomous Flight UAVs for Disaster Rescue

by 1 and 2,*
Hyundai Autoever, Teheran-Ro 114, Seoul 06176, Korea
School of Electronics and Information Engineering, Korea Aerospace University, 76 Hanggongdaehang-ro, Goyang-si 10540, Korea
Author to whom correspondence should be addressed.
Academic Editors: Fatih Kurugollu, Chaker Abdelaziz Kerrache, Farhan Ahmad, Syed Hassan Ahmed and Rasheed Hussain
Sensors 2021, 21(20), 6810;
Received: 31 August 2021 / Revised: 30 September 2021 / Accepted: 2 October 2021 / Published: 13 October 2021
(This article belongs to the Special Issue Recent Advances in Connected and Autonomous Internet of Vehicles)
UAVs (Unmanned Aerial Vehicles) have been developed and adopted for various fields including military, IT, agriculture, construction, and so on. In particular, UAVs are being heavily used in the field of disaster relief thanks to the fact that UAVs are becoming smaller and more intelligent. Search for a person in a disaster site can be difficult if the mobile communication network is not available, and if the person is in the GPS shadow area. Recently, the search for survivors using unmanned aerial vehicles has been studied, but there are several problems as the search is mainly using images taken with cameras (including thermal imaging cameras). For example, it is difficult to distinguish a distressed person from a long distance especially in the presence of cover. Considering these challenges, we proposed an autonomous UAV smart search system that can complete their missions without interference in search and tracking of castaways even in disaster areas where communication with base stations is likely to be lost. To achieve this goal, we first make UAVs perform autonomous flight with locating and approaching the distressed people without the help of the ground control server (GCS). Second, to locate a survivor accurately, we developed a genetic-based localization algorithm by detecting changes in the signal strength between distress and drones inside the search system. Specifically, we modeled our target platform with a genetic algorithm and we re-defined the genetic algorithm customized to the disaster site’s environment for tracking accuracy. Finally, we verified the proposed search system in several real-world sites and found that it successfully located targets with autonomous flight. View Full-Text
Keywords: UAV (Unmanned Aerial Vehicles); disaster; localization; smart search; autonomous flight UAV (Unmanned Aerial Vehicles); disaster; localization; smart search; autonomous flight
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MDPI and ACS Style

Oh, D.; Han, J. Smart Search System of Autonomous Flight UAVs for Disaster Rescue. Sensors 2021, 21, 6810.

AMA Style

Oh D, Han J. Smart Search System of Autonomous Flight UAVs for Disaster Rescue. Sensors. 2021; 21(20):6810.

Chicago/Turabian Style

Oh, Donggeun, and Junghee Han. 2021. "Smart Search System of Autonomous Flight UAVs for Disaster Rescue" Sensors 21, no. 20: 6810.

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