Using general public connected devices for disasters victims location

Sébastien, Olivier; Harivelo, Fanilo; Durand, Sébastien

doi:10.1109/ursigass.2014.6929381

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…The potential of wireless connected devices for localization was reckoned long time ago. Among those suitable for victim detection, BLE is the technology with the greatest spread among personal devices [25], since then, BLE localization has been extensively studied. From detection, to precise localization and identification, research on this field continues to expand, developing new hardware and techniques to obtain more precision.…”

Section: Related Workmentioning

confidence: 99%

Bluetooth Low Energy for Close Detection in Search and Rescue Missions With Robotic Platforms: An Experimental Evaluation

Cantizani-Estepa¹,

Bravo-Arrabal²,

Lozano³

et al. 2022

IEEE Access

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In the field of rescue robotics, data collection about the environment and efficient communications are fundamental for the success of search and rescue missions. Digitalization provides new ways of detecting and localizing potential victims via the wireless devices carried by the users. Nowadays, the number of personal Bluetooth low energy wearables in use (smartbands, smartwatches, earbuds...) increases constantly, being a yet-to-be-exploited personal radio frequency beacon in the case of an emergency, where the user may not be localized and unconscious. In this paper, the results of experimental tests of a Bluetooth low energy based detection system ported by terrestrial and aerial robots are provided, in order to test the feasibility of such system for the localization of the victims in unknown complex disaster areas. The results show that the tested devices can be reliably detected up to 15 meters away when using transmission power values typical of a smartphone, while being able to detect even lightly burdened devices. These results support the idea of developing an algorithm for the delimitation of areas of interest for the search and rescue groups, influencing the routes followed by the robot with the objective of exploring the detected devices area in the search of victims.

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Section: Related Workmentioning

confidence: 99%