Drones for cooperative search and rescue in post-disaster situation

Cui, Jinqiang; Phang, Swee King; Ang, Kevin Z. Y.; Wang, Fei; Dong, Xiangxu; Ke, Yijie; Lai, Shupeng; Li, Kun; Li, Xiang; Lin, Feng; Lin, Jing; Liu, Peidong; Pang, Tao; Wang, Biao; Wang, Kangli; Yang, Zhi; Chen, Ben M.

doi:10.1109/iccis.2015.7274615

Cited by 40 publications

(23 citation statements)

References 11 publications

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“…Currently, the advantages of drones have also attracted the attention of humanitarian organizations, as they allow a more efficient disaster handling ( Anbaroğlu, 2019 ). Here, drones are predominantly used for disaster response mapping, cargo delivery and search-and-rescue operations ( Cui et al, 2015 ; Karaca et al, 2018 ). Of special interest for this study are the following advantages of drones.…”

Section: Introductionmentioning

confidence: 99%

Containing the COVID-19 pandemic with drones - Feasibility of a drone enabled back-up transport system

Kunovjanek

Wankmüller

2021

Transport Policy

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The COVID-19 pandemic has profoundly altered common social and economic patterns as governments all over the world have been forced to take drastic measures to counter the spread of the disease. Among them, quarantine, the closure of borders, and social distancing are the ones that have affected transportation systems most severely. With the clear need to avoid all unnecessary direct human contact, an increased interest in contactless transportation and delivery modes emerged. Drones are a promising alternative in this regard, especially for the delivery of essential goods, such as COVID-19 viral tests. In this study, we therefore investigate how drones can be used to distribute viral tests to potentially infected patients. The novel approach that we propose is to use existing drone infrastructure to perform this task, where drones owned and operated by different public and private entities are retrofitted for the distribution of essential goods in the case of emergency. In a wider sense, we hence suggest the establishment of a drone enabled back-up transport system. Potential performance gains are analyzed through a mathematical time and cost model that was developed in close cooperation with the state Red Cross Organization and a utility drone manufacturer. Process design as well as parameter estimation are based on empirical investigation including, but not limited to, accompanying a COVID-19 mobile testing team in the field. The practical feasibility was verified by retrofitting drones initially assigned to other purposes. Additionally, policy recommendations, such as the establishment of public-public and public-private partnerships, were identified.

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Section: Introductionmentioning

confidence: 99%

Containing the COVID-19 pandemic with drones - Feasibility of a drone enabled back-up transport system

Kunovjanek

Wankmüller

2021

Transport Policy

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“…mitigation, preparedness, response, and recovery stages [38,15]. Drones can assist in damage assessment, emergency items delivery, and search and rescue missions during the immediate response to earthquakes or avalanche events [25,28,44,20].…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of defibrillator drones in mountainous regions

et al. 2020

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Responding to emergencies in Alpine terrain is quite challenging as air ambulances and mountain rescue services are often confronted with logistics challenges and adverse weather conditions that extend the response times required to provide life-saving support. Among other medical emergencies, sudden cardiac arrest (SCA) is the most time-sensitive event that requires the quick provision of medical treatment including cardiopulmonary resuscitation and electric shocks by automated external defibrillators (AED). An emerging technology called unmanned aerial vehicles (or drones) is regarded to support mountain rescuers in overcoming the time criticality of these emergencies by reducing the time span between SCA and early defibrillation. A drone that is equipped with a portable AED can fly from a base station to the patient's site where a bystander receives it and starts treatment. This paper considers such a response system and proposes an integer linear program to determine the optimal allocation of drone base stations in a given geographical region. In detail, the developed model follows the objectives to minimize the number of used drones and to minimize the average travel times of defibrillator drones responding to SCA patients. In an example of application, under consideration of historical helicopter response times, the authors test the developed model and demonstrate the capability of drones to speed up the delivery of AEDs to SCA patients. Results indicate that time spans between SCA and early defibrillation can be reduced by the optimal allocation of drone base stations in a given geographical region, thus increasing the survival rate of SCA patients.

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“…Therefore, a multi-agent system can guarantee robustness by its scalability. Some of these tasks in which groups of robots can perform effectively are surveillance of wide areas (Saska et al 2016;Acevedo et al 2013;Wallar et al 2015), inspection of hostile environments (Quater et al 2014;Deng et al 2014), cargo transport (Tagliabue et al 2017;Teixeira et al 2016), search and rescue operations (Cui et al 2015;Beck et al 2016; Baranzadeh and Savkin 2017), and so on.…”

Section: Introductionmentioning

confidence: 99%

On the Weighting of Control Signals in a Multi-robot System: A Formation-Based Analysis

Ernandes-Neto

Pacheco

Brandão

2020

J Control Autom Electr Syst

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This work presents a strategy to guide an n-robot convoy in a rigid virtual structure, split into n −2 triangular formations. Each set of three robots represents one formation, and transformation functions relate the robots' position to the formation's pose and shape, and vice versa. Each triangular formation has its own constructive sequence (clockwise or counterclockwise), which depends on the robots' position, and is crucial for the control navigation. As first contribution, we propose a strategy based on cross-product concept to identify automatically the current and the desired triangle sequence. Furthermore, once knowing each robot can belong up to three formations, our second contribution is a control signals weighting, to improve simultaneous convergence of the whole formation. Finally, we present real experiments with four Pioneer-3DX robots performing a trajectory tracking task to validate our proposal.

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Drones for cooperative search and rescue in post-disaster situation

Cited by 40 publications

References 11 publications

Containing the COVID-19 pandemic with drones - Feasibility of a drone enabled back-up transport system

Containing the COVID-19 pandemic with drones - Feasibility of a drone enabled back-up transport system

Optimal allocation of defibrillator drones in mountainous regions

On the Weighting of Control Signals in a Multi-robot System: A Formation-Based Analysis

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