Emergency Response Supported by Drones and Experts Perceptions - IFIP - Lecture Notes in Computer Science Access content directly
Conference Papers Year : 2021

Emergency Response Supported by Drones and Experts Perceptions

Abstract

Emergency situations require quick responses from both experts and those who need support in risk situations. People’s perception of emergency situations and its solutions has become an important element of academic and practical research. In this context, the lack of real-time responses can affect sensitive environments and emergency scenarios causing irreparable damage. Thus, this research aims to support specialists involved in emergency response, providing them tools and resources to support their decision-making process. The work proposes a collaborative solution supported by a web application and drones. This solution aims to collect information in a collaborative way of the emergency situation, through the specialists’ awareness during a real emergency action. In addition, the results of the research streamline the capture of information, in less time, aiming to minimize the loss of knowledge of specialists. This information made available in an easy way allows the response team to have greater security for actions, generating greater support for decision making, thus speeding up emergency care. This work was evaluated by specialized Firefighters, who already work with drones in actual emergency situations, in Rio de Janeiro, Brazil.
Fichier principal
Vignette du fichier
498235_1_En_23_Chapter.pdf (418.99 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03761624 , version 1 (26-08-2022)

Licence

Attribution

Identifiers

Cite

Henrique Romano Correia, Ivison Da Costa Rubim, Angélica Silva Dias, Juliana Santos França, Marcos Silva Borges. Emergency Response Supported by Drones and Experts Perceptions. 5th International Conference on Information Technology in Disaster Risk Reduction (ITDRR), Dec 2020, Sofia, Bulgaria. pp.287-297, ⟨10.1007/978-3-030-81469-4_23⟩. ⟨hal-03761624⟩
21 View
7 Download

Altmetric

Share

Gmail Facebook X LinkedIn More