RasPos: Subsurface People Detection and Localization using Wi-Fi Probe Requests

Research output: Contribution to conferencePaper

Standard

RasPos: Subsurface People Detection and Localization using Wi-Fi Probe Requests. / Evangelatos, Alexandros; Wenighofer, Robert.
2022. Paper presented at Urban Operations Expert Talks 2022, Eisenerz, Austria.

Research output: Contribution to conferencePaper

Harvard

Evangelatos, A & Wenighofer, R 2022, 'RasPos: Subsurface People Detection and Localization using Wi-Fi Probe Requests', Paper presented at Urban Operations Expert Talks 2022, Eisenerz, Austria, 19/07/22 - 21/07/22.

APA

Evangelatos, A., & Wenighofer, R. (2022). RasPos: Subsurface People Detection and Localization using Wi-Fi Probe Requests. Paper presented at Urban Operations Expert Talks 2022, Eisenerz, Austria.

Vancouver

Evangelatos A, Wenighofer R. RasPos: Subsurface People Detection and Localization using Wi-Fi Probe Requests. 2022. Paper presented at Urban Operations Expert Talks 2022, Eisenerz, Austria.

Author

Evangelatos, Alexandros ; Wenighofer, Robert. / RasPos: Subsurface People Detection and Localization using Wi-Fi Probe Requests. Paper presented at Urban Operations Expert Talks 2022, Eisenerz, Austria.6 p.

Bibtex - Download

@conference{7b43c0016237495fa929d4c67531317c,
title = "RasPos: Subsurface People Detection and Localization using Wi-Fi Probe Requests",
abstract = "Wi-Fi probe requests are defined in the Institute of Electrical and Electronics Engineers (IEEE) 802.11 standard as an active mechanism accelerating the connection process and being repeatedly sent to some devices once per minute on average. They contain the unique MAC address of the device as well as other information, e.g., its type and manufacturer. This paper further pays special attention to the received signal strength indicator (RSSI) value, from which an estimation of the distance can be derived. Locating and positioning people in underground structures is important as complex structures make it difficult for rescue and security forces to direct operations and, in the event of an accident or fire, to evacuate people out of the danger zone as safely and efficiently as possible. Existing systems are being tested for the positioning of the task force as well as for civilian detection via surveillance cameras at the Zentrum am Berg (ZaB). To counteract their limitations, RasPos was developed and tested based on the worldwide increase of smartphone users, which could allow the detection of close to 90% of people. First, the behaviour of the RSSI was investigated, then a modified software was implemented that produced two estimates of the number of people in the vicinity. The first estimate includes only the explicit identified mobile devices, while the second estimate represents the number of all Wi-Fi-enabled devices.",
keywords = "Subsurface, indoor positioning, wireless localization, People detection, mobile wi-fi",
author = "Alexandros Evangelatos and Robert Wenighofer",
year = "2022",
month = jul,
language = "English",
note = "Urban Operations Expert Talks 2022 ; Conference date: 19-07-2022 Through 21-07-2022",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - RasPos: Subsurface People Detection and Localization using Wi-Fi Probe Requests

AU - Evangelatos, Alexandros

AU - Wenighofer, Robert

PY - 2022/7

Y1 - 2022/7

N2 - Wi-Fi probe requests are defined in the Institute of Electrical and Electronics Engineers (IEEE) 802.11 standard as an active mechanism accelerating the connection process and being repeatedly sent to some devices once per minute on average. They contain the unique MAC address of the device as well as other information, e.g., its type and manufacturer. This paper further pays special attention to the received signal strength indicator (RSSI) value, from which an estimation of the distance can be derived. Locating and positioning people in underground structures is important as complex structures make it difficult for rescue and security forces to direct operations and, in the event of an accident or fire, to evacuate people out of the danger zone as safely and efficiently as possible. Existing systems are being tested for the positioning of the task force as well as for civilian detection via surveillance cameras at the Zentrum am Berg (ZaB). To counteract their limitations, RasPos was developed and tested based on the worldwide increase of smartphone users, which could allow the detection of close to 90% of people. First, the behaviour of the RSSI was investigated, then a modified software was implemented that produced two estimates of the number of people in the vicinity. The first estimate includes only the explicit identified mobile devices, while the second estimate represents the number of all Wi-Fi-enabled devices.

AB - Wi-Fi probe requests are defined in the Institute of Electrical and Electronics Engineers (IEEE) 802.11 standard as an active mechanism accelerating the connection process and being repeatedly sent to some devices once per minute on average. They contain the unique MAC address of the device as well as other information, e.g., its type and manufacturer. This paper further pays special attention to the received signal strength indicator (RSSI) value, from which an estimation of the distance can be derived. Locating and positioning people in underground structures is important as complex structures make it difficult for rescue and security forces to direct operations and, in the event of an accident or fire, to evacuate people out of the danger zone as safely and efficiently as possible. Existing systems are being tested for the positioning of the task force as well as for civilian detection via surveillance cameras at the Zentrum am Berg (ZaB). To counteract their limitations, RasPos was developed and tested based on the worldwide increase of smartphone users, which could allow the detection of close to 90% of people. First, the behaviour of the RSSI was investigated, then a modified software was implemented that produced two estimates of the number of people in the vicinity. The first estimate includes only the explicit identified mobile devices, while the second estimate represents the number of all Wi-Fi-enabled devices.

KW - Subsurface

KW - indoor positioning

KW - wireless localization

KW - People detection

KW - mobile wi-fi

M3 - Paper

T2 - Urban Operations Expert Talks 2022

Y2 - 19 July 2022 through 21 July 2022

ER -