2026-05-30T06:11:00Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/258792026-02-03T11:28:55Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Álvarez-Merino, Carlos Simón
author
Khatib, Emil Jatib
author
Qiang Luo-Chen, Hao
author
Barco-Moreno, Raquel
2023-02-02T07:44:18Z
2023-02-02T07:44:18Z
2022-11-02
Álvarez-Merino, C.S.; Khatib, E.J.; Luo-Chen, H.Q.; Barco, R. Victim Detection and Localization in Emergencies. Sensors 2022, 22, 8433. https://doi.org/10.3390/s22218433
https://hdl.handle.net/10630/25879
https://doi.org/10.3390/s22218433
Detecting and locating victims in emergency scenarios comprise one of the most powerful tools to save lives. Fast actions are crucial for victims because time is running against them. Radio devices are currently omnipresent within the physical proximity of most people and allow locating buried victims in catastrophic scenarios. In this work, we present the benefits of using WiFi Fine Time Measurement (FTM), Ultra-Wide Band (UWB), and fusion technologies to locate victims under rubble. Integrating WiFi FTM and UWB in a drone may cover vast areas in a short time. Moreover, the detection capacity of WiFi and UWB for finding individuals is also compared. These findings are then used to propose a method for detecting and locating victims in disaster scenarios.
eng
Atribución 4.0 Internacional
Localización
Victim Detection and Localization in Emergencies
journal article
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URL
https://riuma.uma.es/bitstreams/3453cdf3-b82a-4541-9f34-276027f8c2bb/download
File
MD5
ab752b441687246c5d383877dc894436
2996604
application/pdf
sensors-22-08433-v2.pdf