A Novel Hybrid Algorithm for Passive Localization of Victims in Emergency Situations

Tassetto, Dimitri; Fazli, Eriza Hafid; Werner, Markus

doi:10.1109/asms.2008.62

Cited by 12 publications

(6 citation statements)

References 14 publications

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“…Their findings demonstrate how medical geography can be used for better informed health care policy and planning decisions. Tassetto et al [ 286 ] tested a novel method to locate victims of disaster by using their existing portable devices (such as simple mobile phones or laptops) and the existing cellular network. Their proposed technology is mediated by a satellite system and requires little action by victims.…”

Section: Resultsmentioning

confidence: 99%

Applications of Space Technologies to Global Health: Scoping Review

Dietrich¹,

Dekova²,

Davy³

et al. 2018

J Med Internet Res

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BackgroundSpace technology has an impact on many domains of activity on earth, including in the field of global health. With the recent adoption of the United Nations’ Sustainable Development Goals that highlight the need for strengthening partnerships in different domains, it is useful to better characterize the relationship between space technology and global health.ObjectiveThe aim of this study was to identify the applications of space technologies to global health, the key stakeholders in the field, as well as gaps and challenges.MethodsWe used a scoping review methodology, including a literature review and the involvement of stakeholders, via a brief self-administered, open-response questionnaire. A distinct search on several search engines was conducted for each of the four key technological domains that were previously identified by the UN Office for Outer Space Affairs’ Expert Group on Space and Global Health (Domain A: remote sensing; Domain B: global navigation satellite systems; Domain C: satellite communication; and Domain D: human space flight). Themes in which space technologies are of benefit to global health were extracted. Key stakeholders, as well as gaps, challenges, and perspectives were identified.ResultsA total of 222 sources were included for Domain A, 82 sources for Domain B, 144 sources for Domain C, and 31 sources for Domain D. A total of 3 questionnaires out of 16 sent were answered. Global navigation satellite systems and geographic information systems are used for the study and forecasting of communicable and noncommunicable diseases; satellite communication and global navigation satellite systems for disaster response; satellite communication for telemedicine and tele-education; and global navigation satellite systems for autonomy improvement, access to health care, as well as for safe and efficient transportation. Various health research and technologies developed for inhabited space flights have been adapted for terrestrial use.ConclusionsAlthough numerous examples of space technology applications to global health exist, improved awareness, training, and collaboration of the research community is needed.

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Section: Resultsmentioning

confidence: 99%

Applications of Space Technologies to Global Health: Scoping Review

Dietrich¹,

Dekova²,

Davy³

et al. 2018

J Med Internet Res

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“…They used the Pedestrian Dead Reckoning and Wi-Fi RSSI fingerprinting models to simulate indoor localization. A hybrid algorithm has been proposed to provide location information of victims to rescue workers using time-of-arrival and received power of GSM network [21] . They simulated and showed the trade-offs between location error and path-loss exponent.…”

Section: Related Workmentioning

confidence: 99%

Escalating post-disaster rescue missions through ad-hoc victim localization exploiting Wi-Fi networks

Khan

Salim

Tahmid

et al. 2022

Heliyon

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“…In each waypoint, UAVs sense the RSS and form the DRSS measurements. In two-dimensional coordinates Each DRSS measurement defines a circle as the locus of possible locations of emitter [21], and the emitter location is specified by the intersection of multiple DRSS circles. For two-dimensional localization at least two DRSS observations are necessary to estimate the source location specifically.…”

Section: Review On Drssi Approachmentioning

confidence: 99%

Optimal path planning for DRSSI based localization of an RF source by multiple UAVs

Dehghan

Moradi

Shahidian

2014

2014 Second RSI/ISM International Conference on Robotics and Mechatronics (ICRoM)

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The Radio Frequency (RF) source localization accuracy depends not only on the measurement performance of sensors, but also on the relative location of the sensors and the source. This paper investigates the impact of UAVs, equipped with RSSI sensors, formation and trajectory on the aerial RF source localization performance for Differential Received Signal Strength Indication (DRSSI) based approach in None Line Of Sight (NLOS) propagation condition. To eliminate the need for knowing the power of the signal source the DRSSI approach is applied. The collected measurements in each waypoint are used to estimate the location of the source iteratively by the use of Extended Kalman Filter (EKF). The Cramer-Rao Lower Bound (CRLB), which expresses a lower bound on the variance of any unbiased estimator, is used as the objective function for the proposed algorithm. Due to the complexity of Jacobin calculation to perform global CRLB optimization, the local values of CRLBs in the current waypoint and the next probable waypoints are used to determine the best path. Maximizing the determinant of the inverse of CRLB, i.e. the Fisher Information Matrix, in each measurement instance over the next probable waypoint, minimizes the estimation uncertainty area. The effectiveness of the proposed algorithm is illustrated by Monte-Carlo simulations and compared with the basic bio-inspired approach of going toward the estimated direction of the source.

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A Novel Hybrid Algorithm for Passive Localization of Victims in Emergency Situations

Cited by 12 publications

References 14 publications

Applications of Space Technologies to Global Health: Scoping Review

Applications of Space Technologies to Global Health: Scoping Review

Escalating post-disaster rescue missions through ad-hoc victim localization exploiting Wi-Fi networks

Optimal path planning for DRSSI based localization of an RF source by multiple UAVs

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