2026-05-28T13:50:58Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/237932026-02-03T12:06:20Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Cantizani-Estepa, Juan
author
Bravo-Arrabal, Juan
author
Fernández-Lozano, Juan Jesús
author
Fortes-Rodríguez, Sergio
author
Barco-Moreno, Raquel
author
García-Cerezo, Alfonso José
2022-02-22T13:01:25Z
2022-02-22T13:01:25Z
2022-02
https://hdl.handle.net/10630/23793
Improvements in telecommunications and digitalization directly improve the efficacy of a wide variety of processes. Recently, detection systems have received considerable attention because of the importance of tracking infected people contacts during SARS-CoV-2 pandemic. Such implementations can be useful in the task of finding potential victims in the context of emergency response, especially in situations where GPS is not available or inspection by imaging is not practical. Radio signals come into play, and specifically from devices that transmit periodically and with low power consumption. With the rise of Internet of Things over the last years, the number of wearable devices that support BLE, such as smartbands, smartwatches or smartphones, has been increasing constantly, as well as the number of users that carry them. Those devices can provide considerable assistance in locating injured or unconscious people. This work presents a system for detecting victims by means of a terrestrial search and rescue (SAR) robot. A real implementation of a close detection robotic platform based on BLE for SAR interventions is laid out. To estimate the distance between a robotic agent and potential victims within an experimental area, a Log-distance path loss model is presented. The proposed scheme has been tested in realistic scenarios during SAR exercises.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Ayuda en las catástrofes
Robots autónomos
Close detection robotic platform for Search And Rescue missions based on Bluetooth Low Energy
conference output
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URL
https://riuma.uma.es/bitstreams/9863c659-8e46-4b25-a3f8-63d823136f15/download
File
MD5
d7c6082e4e96df727a589dcaf8a161a5
114703
application/pdf
JCE_INTERACT_Resumen.pdf