Aplicações de drones em emergências, desastres e ajuda humanitária: Uma revisão sistemática da literatura

Contenido principal del artículo

Lorran Junqueira
Luiz Eduardo Galvão Martins
Ana Estela da Silva

Resumen

Existe a necessidade de tecnologia para permitir respostas mais eficientes a riscos e emergências, além da crescente demanda por novas tecnologias para atender a população. Este estudo teve como objetivo buscar na literatura sobre Sistemas Aeronaves Não Tripuladas (UAS), conhecidas como “drones”, para identificar as principais barreiras e requisitos para o uso de Aeronaves Não Tripuladas. Uma Revisão Sistemática da Literatura (RSL) foi realizada usando quatro bibliotecas digitais, considerando artigos publicados de 2011 a 2022 relacionados às Aeronaves Não Tripuladas como ferramenta para busca e resgate durante emergências. No total, foram encontrados 1.030 artigos. Destes, 173 foram importados para seleção. 86 artigos e quatro outras RSL foram aceitos e analisados minuciosamente. Este artigo discute diferentes metodologias sobre como aeronaves remotamente pilotadas podem ser usadas em aplicações associadas a equipes de resgate, bombeiros, gestão urbana, autoridades, hospitais e instituições de pesquisa. Os resultados visam permitir que os envolvidos com operações relacionadas explorem ferramentas promissoras para uso prático em cenários críticos, juntamente com suas vantagens e limitações.

Descargas

Los datos de descargas todavía no están disponibles.

Detalles del artículo

Cómo citar
Junqueira, L., Martins, L. E. G., & Silva, A. E. da . . (2024). Aplicações de drones em emergências, desastres e ajuda humanitária: Uma revisão sistemática da literatura . Revista Brasileira Multidisciplinar, 27(1), 110-132. https://doi.org/10.25061/2527-2675/ReBraM/2023.v26i3.1848
Sección
Artigos de Revisão
Biografía del autor/a

Lorran Junqueira, Universidade Federal de São Paulo

Possui graduação em Tecnologia em Projetos de Estruturas Aeronáuticas pela Faculdade de Tecnologia de São José dos Campos - Professor Jessen Vidal(2016) e curso-tecnico-profissionalizante em Técnico em Mecatrônica pelo Centro Federal de Educação Tecnológica de Minas Gerais(2011). Tem experiência na área de Engenharia Aeroespacial, com ênfase em Estruturas Aeroespaciais.

Luiz Eduardo Galvão Martins, Universidade Federal de São Paulo

Ph.D. em Engenharia Elétrica. É professor adjunto da Universidade Federal de São Paulo, SP. Brasil Seus interesses de pesquisa incluem desenvolvimento de software ágil e em larga escala e gerenciamento de arquitetura empresarial

Ana Estela da Silva, Universidade Estadual de Campinas, SP. Brasil

Ph.D. em Engenharia Elétrica. É professora adjunta da Universidade Estadual de Campinas, SP. Brasil. Seus interesses de pesquisa incluem desenvolvimento de software ágil e em larga escala e gerenciamento de arquitetura empresarial.

Citas

ABDEL-MALEK; M. A. et al. Efficient Authentication of UAS to mmWave Wireless Mesh Networks in Post-Disaster Scenarios. GLOBECOM 2020 - 2020 IEEE Global Communications Conference, [s. l.], p. 1-6, 2020.

ADAMS, J. et al. Use of Small Unmanned Aerial Systems for Tactical Response during Kilauea Volcano Lower East Rift Zone event. IEEE International Symposium on Safety, Security, and Rescue Robotics (S.S.R.R.), [s. l.], p. 1-2, 2018.

ALBANESE, A. et al. SARDO: An Automated Search-and-Rescue Drone-based Solution for Victims Localization. IEEE Transactions on Mobile Computing, [s. l.], p. 1-1, 2021.

AL-KAFF, A., et al. Emergency support unmanned aerial vehicle for forest fire surveillance. Electronics (Switzerland), v. 9, Issue 2. p. 1- 14, February 2020.

AMICONE, D., et al. A smart capsule equipped with artificial intelligence for autonomous delivery of medical material through UAS Applied Sciences (Switzerland), v. 11, Issue 17, p. 1-13, September 2021.

BALMORAL, G., et al. Guidelines for the use of unmanned aerial systems in flood emergency response. Water (Switzerland), v. 12, Issue 21, p. 1 -22, February 2020.

BAUMGARTEN, M. C., et al. UAS delivering automated external defibrillators—Integrating unmanned aerial systems into the chain of survival: A simulation study in rural Germany. Resuscitation, Germany, v. 172, p. 139-145, 2021.

BESADA, J. et al. UAS-as-a-service: A management architecture to provide mission planning, resource brokerage and operation support for fleets of UAS. IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom), [s. l.], p. 931-936, 2019.

BJORLING, O. et al. Drone Swarms in Forest Firefighting: A Local Development Case Study of Multi-Level Human-Swarm Interaction. NordiCHI '20: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, Sweden, p. 1–14, 2020.

BOGLE, B. M., et al. The Case for Drone-assisted Emergency Response to Cardiac Arrest: An Optimized Statewide Deployment Approach. North Carolina medical journal, USA, v. 80, Issue 4, p. 204 – 212. 1 July 2019.

BUDGEN, D.; BRERETON, P. Performing systematic literature reviews in software engineering. Proceedings of the 28th international conference on Software engineering, [s. l.], p. 1051–1052, 2019.

BUSNEL, Y., CAILLOUET; C., COUDERT; D. Self-Organized Disaster Management System by Distributed Deployment of Connected UAVs. 6th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM, [s. l.], p. 1 - 8, 2019.

CALAMONERI, T.; CORÒ, F.; MANCINI, S. A Realistic Model to Support Rescue Operations After an Earthquake via UAVs. IEEE Access, [s. l.], v. 10, p. 6109-6125, 2022.

CALDERÓN, D. et al. Galileo Aid Drone: A System Integration for Autonomous Wildfire Assistants. IEEE/SICE International Symposium on System Integration (S.I.I.), [s. l.], p. 696-697, 2021.

CALLE, M., et al. A tandem drone-ground vehicle for accessing isolated locations for first aid emergency response in case of disaster. I.J.C.C.I. 2018 - Proceedings of the 10th International Joint Conference on Computational Intelligence, Seville, p. 289 – 296. 18 - 20 September 2018.

CHECKS, S., et al. Improving access to automated external defibrillators in rural and remote settings: A drone delivery feasibility study. Journal of the American Heart Association, v. 9, p. 1 – 8, Issue 1421. July 2020.

CHENGYI, Q. et al. Obstacle-Aware and Energy-Efficient Multi-Drone Coordination and Networking for Disaster Response. 17th International Conference on Network and Service Management (C.N.S.M.), [s. l.], p. 446-454, 2021.

C-HUANG, J. et al. Multi-product inventory modeling with demand forecasting and Bayesian optimization. Dyna, [s. l.], v. 83, n. 198, p. 235–243, 2016.

CLAESSON, A. et al. UAS may be used to save lives in out of hospital cardiac arrest due to drowning. European Resuscitation Council, [s. l.], v. 114, p. 152-156, Maio 2017.

CLAESSON, A., et al. Unmanned aerial vehicles (UAS) in out-of-hospital-cardiac-arrest. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, v. 24, Issue 1, p. 1 - 5, 12 October 2016.

CLELAND-HUANG, J. et al. Requirements-driven Configuration of Emergency Response Missions with Small Aerial Vehicles. P.L.C. '20: Proceedings of the 24th ACM Conference on Systems and Software Product Line, Canada, v. A, p. 1-12, 2020.

COMMISSION Delegated Regulation (EU) 2019/945, On Unmanned Aircraft Systems and On Third-Country Operators of Unmanned Aircraft Systems. In Official Journal of the European Union, p. 1-40, 12 March 2019.

CONTE, C. et al. Performance Analysis for Human Crowd Monitoring to Control COVID-19 disease by Drone Surveillance. IEEE 8th International Workshop on Metrology for AeroSpace (MetroAeroSpace), [s. l.], p. 31-36, 2021.

CROWLEY, D. E. et al. AR Browser for Points of Interest in Disaster Response in UAV Imagery. CHI EA '14: C.H.I. '14 Extended Abstracts on Human Factors in Computing Systems, USA, p. 2173–2178, 2014.

DAUD, S. M. S., et al. Applications of drone in disaster management: A scoping revie. Science & Justice, [s. l.], v. 62, Issue 1, p. 30-42, 2021.

DEL-REAL, C. e DÍAZ-FERNÁNDEZ; A. M. Lifeguards in the sky: Examining the public acceptance of beach-rescue UAS. Technology in Society, [s. l.], v. 64, p. 101-102, February 2021.

DERKENNE, C. et al. Automatic external defibrillator provided by unmanned aerial vehicle (drone) in Greater Paris: A real world-based simulation planning. Resuscitation, [s. l.], v. 162, p. 259-265, 2020.

DHIVYA, A. Josephin Arockia; PREMKUMAR, J. Quadcopter based technology for emergency healthcare. 2017 Third International Conference on Biosignals, Images, and Instrumentation (I.C.B.S.I.I.), Chennai, p. 1-3, 18 mar. 2017.

DHIVYA, J.A., et al. Medical drone - A life saver in emergency situations. International Journal of Engineering and Technology (U.A.E.), [s. l.], v. 7, Issue 2, p. 14 – 16. 2018.

DIAZ, J. L. et al. Local Disaster Risk Reduction Management System Utilizing Unmanned Aerial Vehicles. I.C.S.E.B. 2019: 2019 The 3rd International Conference on Software and e-Business. Tokyo, Japan, p. 24–28, December 9 – 11, 2019.

EICHLEAY, M. et al. Using the Unmanned Aerial Vehicle Delivery Decision Tool to Consider Transporting Medical Supplies via Drone. Global Health, Science and Practice, [s. l.], v. 7, Issue 4, p. 500 – 506, 23 December 2019.

FENG, X., MURRAY; A.T., CHURCH; R. L. Drone service response: Spatiotemporal heterogeneity implications. Journal of Transport Geography, [s. l.], v. 93, p. 74-103, May 2021.

GANESH, S. et al. Architecture for Drone Assisted Emergency Ad-hoc Network for Disaster Rescue Operations. 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), [s. l.], p. 44-49, 2021.

GHELICHI, Z., GENTILI; M. MIRCHANDANI; P. B. Locating platforms and scheduling a fleet of UAS for emergency delivery of perishable items. Computers & Industrial Engineering, [s. l.], v. 168, p. 57-108, June 2022.

GHELICHI, Z., GENTILI; M.; Mirchandani; P. B. Logistics for a fleet of UAS for medical item delivery: A case study for Louisville, KY. Computers & Operations Research, USA, v. 135, p. 105-143, Novembro 2021.

GIUSEPPI, A. et al. UAV patrolling for wildfire monitoring by a dynamic Voronoi tessellation on satellite data. UAS, [s. l.], v. 5, Issue 4, p. 1 -19, December 2021.

GREENWOOD, F., NELSON; E.L., GREENOUGH; P.G. Flying into the hurricane: A case study of UAV use in damage assessment during the 2017 hurricanes in Texas and Florida. PLoS O.N.E., v. 15, Issue 21, p. 1 -30, February 2020.

HAULA, K.; AGBOZO, Bugden. A systematic review on unmanned aerial vehicles in Sub-Saharan Africa: A socio-technical perspective. Technology in Society, [s. l.], v. 63, p. 101-157, Novembro 2020.

HOMOLA, J. et al. UTM and D-NET: NASA and JAXA's collaborative research on integrating small UAS with disaster response efforts. 18th AIAA Aviation Technology, Integration, and Operations Conference, Atlanta, p. 1 - 7, 25 - 29 June 2018.

HU, X. et al. Design of UAV Hurricane Disaster Response System Based on Euler Cycle and Integer Programming. 2019 IEEE International Conference on Power, Intelligent Computing and Systems (PICS, [s. l.], p. 421-423, 2019.

HU, X. et al. Design of UAV Hurricane Disaster Response System Based on Euler Cycle and Integer Programming. 2019 IEEE International Conference on Power, Intelligent Computing and Systems (PICS, [s. l.], p. 421-423, 2019.

HUANG, Z. et al. CoUAS: Enable Cooperation for Unmanned Aerial Systems. ACM Transactions on Sensor Networks, USA, v. 16, n. 3, p. 1 -27, 2020.

JEON, I., et al. A real-time drone mapping platform for marine surveillance. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - I.S.P.R.S. [s. l.], p. 385-391, 2019.

JOHNSON, A. M., et al. Impact of using UAS in emergency medicine: What does the future hold? Emergency Medicine, [s. l.], v. 13, p. 487-498, 2021,

KHAN, M.; NEUSTAEDTER, D.; ANTLE, C. A. Flight Chair: An Interactive Chair for Controlling Emergency Service UAS. CHI EA ‘19: Extended Abstracts of the 2019 C.H.I. Conference on Human Factors in Computing Systems, Canada, n. 5, p. 1–5, 2019.

KHAN, PMd. N. H. et al. An Exploratory Study of the Use of UAS for Assisting Firefighters During Emergency Situations. C.H.I. '19: CHI Conference on Human Factors in Computing Systems Glasgow, Scotland UK, p. 1–14, Maio 4-9 2020.

KHAN, S. I., et al. UAVs path planning architecture for effective medical emergency response in future networks. Physical Communication, [s. l.], v. 47, p. 101-137, Agosto 2021.

KIRKPATRICK, A. W., et al. Pioneering Remotely Piloted Aerial Systems (Drone) Delivery of a Remotely Telementored Ultrasound Capability for Self-Diagnosis and Assessment of Vulnerable Populations—the Sky Is the Limit. Journal of Digital Imaging, [s. l.], v. 34, Issue 4, p. 841-845, 2021.

KON; Fabio e SANTANA; Eduardo F. Z. Cidades inteligentes: conceitos, plataformas e desafios. Jornadas de Atualização em Informática (2016): p. 17. Disponível em <http://interscity.org/assets/JAI2016-CidadesInteligentes.pdf>. Acesso em: 21 de julho de 2022

KUCHARCZYK, M., e HUGENHOLTZ; C. H. Remote sensing of natural hazard-related disasters with small UAS: Global trends, biases, and research opportunities. Remote Sensing of Environment, [s. l.], v. 264, p. 112- 177, Outubro 2021.

KUMAR T.M vinod. Smart Environment for Smart Cities. Springer Singapore, 2019. Disponível em <https://tinyurl.com/u97y7go>. Acesso em: 22 de julho de 2022

KYRKOU, C. et al. National coverage of out-of-hospital cardiac arrests using automated external defibrillator-equipped UAS: A geographical information system analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Cyprus, v. 13, p. 136-145, 2020.

KYRKOU, C.; THEOCHARIDES, T. National coverage of out-of-hospital cardiac arrests using automated external defibrillator-equipped UAS: A geographical information system analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, [s. l.], v. 163, p. 136-145, Junho 2021.

LEE, I. et al. Deep Reinforcement Learning for UAV-Assisted Emergency Response. MobiQuitous '20: MobiQuitous 2020 - 17th E.A.I. International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services, USA, p. 327–336, 2021.

LEVIN, E., et al. Feasibility study of inexpensive thermal sensors and small UAS deployment for living human detection in rescue missions' application scenarios. 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, I.S.P.R.S. 2016. Prague, v. 41, p. 99 – 103, 12 - 19 July 2016.

MACIAS, J.; ANGELOUDIS, P.; OCHIENG, W. Optimal hub selection for rapid medical deliveries using unmanned aerial vehicles. Transportation Research Part C: Emerging Technologies, [s. l.], v. 110, p. 56-80, 2020.

MALANDRINO, F., et al. Multiservice UAVs for emergency tasks in post-disaster scenarios. Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), [s. l.], p. 18 - 23, 2019.

MANDIROLA, M. et al. Guidelines for the use of Unmanned Aerial Systems for fast photogrammetry-oriented mapping in emergency response scenarios. International Journal of Disaster Risk Reduction, [s. l.], v. 58, p. 102-207, Maio 2021.

MARTIN, L. et al. Initial Exploration of STEReO (Scalable Traffic management for Emergency Response Operations) System User Requirements for Safe Integration of Small UAS. IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), [s. l.], p. 1-8, 2021.

MASROOR, R., NAEEM; M., EJAZ; W. Efficient deployment of UAVs for disaster management: A multi-criterion optimization approach. Computer Communications, [s. l.], v. 177, p. 185-194, 2021.

MATEEN, F.J., et al. A drone delivery network for antiepileptic drugs: A framework and modeling case study in a low-income country. Transactions of the Royal Society of Tropical Medicine and Hygiene, [s. l.], v. 114, Issue 4, p. 308 – 314, 8 April 2020.

MATINRAD, N., REUTER-OPPERMANN M. A review on initiatives for the management of daily medical emergencies prior to the arrival of emergency medical services. Central European Journal of Operations Research, [s. l.], v. 30, Issue 1, p. 251 - 302, March 2022.

MERKERT, R.; BUSHELL, J. Managing the drone revolution: A systematic literature review into the current use of airborne UAS and future strategic directions for their effective control. Journal of Air Transport Management, [s. l.], v. 89, p. 101-129, 2020.

MEZGHANI; F.; MITTON, N. The potential of cooperative communications to speed up disaster relief operations. 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)., [s. l.], p. 1-6, 2019.

MICHAEL BATTY et al. Smart cities of the future. The European Physical Journal Special Topics 214(1): [s. l.], p. 481-518. October 2012

MICHELETTO, M. et al. Flying real-time network to coordinate disaster relief activities in urban areas. Sensors (Switzerland), v. 18, Issue 522, p. 1 – 20, May 2018.

MOEYERSONS, J. et al. Aiding first incident responders using a decision support system based on live drone feeds. Communications in Computer and Information Science, Tokyo v. 949, p. 87 – 100. 2018.. 25 November 2018.

MOHAMED, N. et al. Unmanned aerial vehicles applications in future smart cities. Technological Forecasting and Social Change, [s. l.], v. 153, p. 119-293, Abril 2020.

MUNAWAR, H. S. et al. Disruptive technologies as a solution for disaster risk management: A review. Science of The Total Environment, [s. l.], v. 806, n. 3, p. 151-351, 1 fev. 2022.

NAGAYO, A. M. et al. An Unmanned Aerial Robot and Physiological Data Monitoring System integrated into a Patient Transport Vehicle for Emergency Medical Services and Telehealth. 5th International Conference on Information Systems and Computer Networks (ISCON), [s. l.], p. 1-8, 2021.

NENNI, M.E., et al. Development of a Drone-Supported Emergency Medical Service. International Journal of Technology, [s. l.], v. 11, Issue 4, p. 656 – 666. October 2020.

NYAABA, A. A., e AYAMGA; M. Intricacies of medical UAS in healthcare delivery: Implications for Africa. Technology in Society, [s. l.], v. 66, p. 106-124, Agosto 2021.

OSTERMANN, T., BEN, C. MARTIN; I. L.A.R.U.S.: an unmanned aircraft for the support of maritime rescue missions under heavy weather conditions. CEAS Aeronautical Journal, v. 11, Issue 3, p. 633 - 6491 September 2020.

PÉTER, H.; LÁSZLÓ, D.; JÁNOS, V. Civilian use of UAS in the life of mining rescue helicopters. IEEE 17th International Symposium on Computational Intelligence and Informatics (C.I.N.T.I.). [s. l.], p. 299-302, 2016.

PONTES, D.S.F., et al. Use Of Remotely Piloted Aircraft For Flood Analysis: A Case Study Of Passo Da Pátria Complex, Natal, Brazil [Uso De Aeronave Remotamente Pilotada Para Análise De Inundações: Um Estudo De Caso A Partir Do Complexo Do Passo Da Pátria, Natal, Brasil] [Uso De Aeronave Pilotada A Distância Para El Análisis De Inundaciones: Un Estudio De Caso Del Complejo Paso, Natal, BRASIL]. Revista de Estudios Latinoamericanos sobre Reduccion del Riesgo de Desastres, v. 4, Issue 2, p. 97 – 110. July 2020.

RABTA; B.; WANKMÜLLER; C.; REINER; G. A drone fleet model for last-mile distribution in disaster relief operations. International Journal of Disaster Risk Reduction, vol 28, pp 107-112, 2018.

RAJAN, J., et al. Chapter 6 - Disaster management using unmanned aerial vehicles. Unmanned Aerial Systems Theoretical Foundation and Applications Advances in Nonlinear Dynamics and Chaos (ANDC), [s. l.], p. 129-155, 2021.

RASHID, M. T. et al. Demo Abstract: Social Media-Driven UAV Sensing Frameworks in Disaster Response Applications. IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), [s. l.], p. 1340-1341, 2020.

REDI, A.A.N.P., et al. Collaborative hybrid aerial and ground vehicle routing for post-disaster assessment. Sustainability (Switzerland), v. 13, Issue 22, p. 1-25, November 2021.

REJE, A. Humanitarian UAS: A Review and Research Agenda. Internet of Things, [s. l.], v. 16, p. 1-20, Dezembro 2021.

SANFRIDSSON, J., et al. Drone delivery of an automated external defibrillator - A mixed-method simulation study of bystander experience. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Germany, p. 1 -7, 2019.

SCHIERBECK, S. et al. National coverage of out-of-hospital cardiac arrests using automated external defibrillator-equipped UAS: A geographical information system analysis. Resuscitation, [s. l.], v. 163, p. 136-145, 2021.

SEGUIN, C. et al. Unmanned aerial vehicles (UAS) to prevent drowning. Resuscitation, [s. l.], v. 127, p. 63-67, 2018.

SIGARI, C., BIBERTHALER; P. Medical UAS: Disruptive technology makes the future happen [Medizinische Drohnen: innovative Technologie eröffnet neue Horizonte der Unfallchirurgie]. Unfallchirurg, [s. l.], v. 124, Issue 12, p. 974 - 976 - December 2021.

SMITH, C. M. Defibrillation for out-of-hospital cardiac arrest. Year of the drone? Resuscitation, [s. l.], v. 172, p. 146-148, Março 2022.

VANDERHORST, H. et al. Strategic framework of Unmanned Aerial Systems integration in the disaster management public organizations of the Dominican Republic. International Journal of Disaster Risk Reduction, [s. l.], v. 56, p. 1-13, 1 abr. 2021.

VICHOVA, K. et al. Integrated Rescue System and the Use of Unmanned Aerial Vehicle Not Only for the Population Protection. ICMHI 2020: 2020 4th International Conference on Medical and Health Informatics., Kamakura City. Japan, p. 180–185, Agosto 14-16 2020.

WANG, N. et al. Supporting value sensitivity in the humanitarian use of UAS through an ethics assessment framework. International Review of the Red Cross, [s. l.], p. 1 - 32, 2022.

WANKMÜLLER, C., et al. Optimal allocation of defibrillator UAS in mountainous regions. OR Spectrum, v. 42, Issue 3, p. 785 – 8141. September 2020.

WANKMÜLLER, C., KUNOVJANEK; M., MAYRGÜNDTER; S. UAS in emergency response – evidence from cross-border, multidisciplinary usability tests. International Journal of Disaster Risk Reduction, [s. l.], v. 65, p. 67-102, November 2021.

YAKUSHIJI, K., et al. Short-range transportation using unmanned aerial vehicles (UAVs) during disasters in Japan. UAS, v. 4, Issue 4, p. 1 – 8. December 2020.

YAO, Q. et al. Quad-rotor firefighting drone based on multifunctional integration. 2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA), [s. l.], p. 70-73, 2021.

ZHANG, G., et al. Humanitarian relief network assessment using collaborative truck-and-drone system. Transportation Research Part E: Logistics and Transportation Review, [s. l.], v. 152, p. 102-117, Agosto 2021.

ZWEGLIŃSKI, T. The use of UAS in disaster aerial needs reconnaissance and damage assessment-Three-dimensional modeling and orthophoto map study. Sustainability (Switzerland), v. 12, Issue 15. p. 1- 18, August 2020.