NDLI: Using Unmanned Aerial Vehicles for Wireless Localization in Search and Rescue

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Using Unmanned Aerial Vehicles for Wireless Localization in Search and Rescue

Content Provider	Semantic Scholar
Copyright Year	2018
Abstract	OF THE THESIS USING UNMANNED AERIAL VEHICLES FOR WIRELESS LOCALIZATION IN SEARCH AND RESCUE MISSIONS UAV technology has shown limitations in the navigational performance and limited flight time. Procedures to optimize these limitations are presented. Additionally, how the UAV is maneuvered during flight is analyzed, considering different SAR flight patterns and Li-Po battery consumption rates of the UAV. Results show that controlling the UAV by remote-controll detected the most probes, but it is less power efficient compared to control it autonomously. by Virgilio Acuna Florida International University, 2018 Miami, Florida Professor Ismail Guvenc, Major Professor This thesis presents how unmanned aerial vehicles (UAVs) can successfully assist in search and rescue (SAR) operations using wireless localization. The zone-grid to partition to capture/detect WiFi probe requests follows the concepts found in Search Theory Method. The UAV has attached a sensor, e.g., WiFi sniffer, to capture/detect the WiFi probes from victims or lost people’s smartphones. Applying the Random-Forest based machine learning algorithm, an estimation of the user's location is determined with a 81.8% accuracy.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=4874&context=etd
Language	English
Access Restriction	Open
Subject Keyword	Aerial photography Algorithm Drug vehicle HL7PublishingSubSection Lithium Machine learning Random forest Smartphone Unmanned aerial vehicle
Content Type	Text
Resource Type	Article

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