UAVs as a Tool for Optimizing Boat-Supported Flood Evacuation Operations DOI Creative Commons
Lara G. Moussa,

Raluca Diaconu,

Michael S. Watt

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(11), P. 621 - 621

Published: Oct. 29, 2024

The frequency and intensity of flood events are increasing year by as a result climate change. This poses significant threats to human settlements adversely affects biodiversity, agriculture, infrastructure. One the most prominent traditional evacuation approaches is through use boats. Nonetheless, serious challenges exist with respect determining optimal deployment locations, routes, timing. Given research advances in Unmanned Aerial Vehicles (UAVs) sector—and their ability offer real-time data aerial monitoring services—we argue that applications could help enhance boat-supported operations. In this opinion piece, we explore new opportunities for disaster management underscore advantages integrating UAVs into methodologies, including areas rapid field assessment, route planning, improved coordination between rescue Notwithstanding potential UAVs, emphasize several gaps be explored terms large-scale management/processing, regulatory limitations, technological know-how. Furthermore, provide recommendations bolstering boat protocols, preparedness training programs, policy frameworks, emergency response systems, which maximize efficacy scenarios.

Language: Английский

Data Security and Privacy Concerns in Drone Operations DOI
Siva Raja Sindiramutty, N. Z. Jhanjhi, Chong Eng Tan

et al.

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 236 - 290

Published: Jan. 26, 2024

The widespread use of drones across various industries is leading to significant transformations. However, the resulting concerns about data security and privacy are quite significant. This section offers a thorough exploration these important issues, providing insights into challenges they pose potential ways address them. Starting with an overview increasing utility drones, this chapter highlights importance strong protocols for privacy. By examining complexities collection storage, it reveals different types that gather, delves storage techniques, vulnerabilities, setting stage effective countermeasures. At core discussion cybersecurity risks, which range from cyberattacks on drone systems unauthorized access tampering data. To sum up, serves as comprehensive guide understanding, addressing, mitigating related in operations.

Language: Английский

Citations

18
Future Trends and Emerging Threats in Drone Cybersecurity DOI
Siva Raja Sindiramutty, N. Z. Jhanjhi, Chong Eng Tan

et al.

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 148 - 195

Published: Jan. 26, 2024

The rapid proliferation of drone technology has ushered in a new era innovation and convenience across various industries. However, this technological advancement also given rise to host cybersecurity challenges that demand proactive attention. This chapter delves into the dynamic landscape security, exploring evolving trends emerging threats shape field. Beginning with an overview advancements, including integration artificial intelligence machine learning, examines their implications for cybersecurity. It then scrutinizes growing influence swarms autonomous operations, pinpointing associated strategies securing these systems. explores expansion operations beyond visual line sight (BVLOS) risks involved, emphasizing importance secure communications legal considerations.

Language: Английский

Citations

11
Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems DOI Creative Commons
Khaled Osmani, Detlef Schulz

Sensors, Journal Year: 2024, Volume and Issue: 24(10), P. 3064 - 3064

Published: May 11, 2024

The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their extended applicability in diverse domains, including surveillance, commerce, military, and smart electric grid monitoring. Modern UAV avionics enable precise aircraft operations through autonomous navigation, obstacle identification, collision prevention. structures of are generally complex, thorough hierarchies intricate connections exist between. For a comprehensive understanding design, this paper aims assess critically review the purpose-classified electronics hardware inside UAVs, each with corresponding performance metrics thoroughly analyzed. This includes an exploration different algorithms used for data processing, flight control, protection, communication. Consequently, enriches knowledge base offering informative background on various design processes, particularly those related applications. As future work recommendation, actual relevant project is openly discussed.

Language: Английский

Citations

9
Risks of Drone Use in Light of Literature Studies DOI Creative Commons
Agnieszka Tubis, Honorata Poturaj,

Klaudia Dereń

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(4), P. 1205 - 1205

Published: Feb. 13, 2024

This article aims to present the results of a bibliometric analysis relevant literature and discuss main research streams related topic risks in drone applications. The methodology conducted consisted five procedural steps, including planning research, conducting systematic review literature, proposing classification framework corresponding contemporary trends risk applications, compiling characteristics publications assigned each highlighted thematic groups. used PRISMA method. A total 257 documents comprising articles conference proceedings were analysed. On this basis, eight categories use drones associated with their operation distinguished. Due high content within two these categories, further division into subcategories was proposed illustrate topics better. investigation made it possible identify current pointed out existing gaps, both area assessment its application areas. obtained from can provide interesting material for industry academia.

Language: Английский

Citations

8
In-depth review of AI-enabled unmanned aerial vehicles: trends, vision, and challenges DOI Creative Commons
Osim Kumar Pal, Md Sakib Hossain Shovon, M. F. Mridha

et al.

Discover Artificial Intelligence, Journal Year: 2024, Volume and Issue: 4(1)

Published: Dec. 2, 2024

In recent times, AI and UAV have progressed significantly in several applications. This article analyzes applications of with modern green computing various sectors. It addresses cutting-edge technologies such as computing, generative AI, future scope, related concerns UAV. The research investigates the role combination UAVs for navigation, object recognition tracking, wildlife monitoring, precision agriculture, rescue operations, surveillance, communication. study examines how are being applied disaster management, other areas. ethics applications, including safety, legal frameworks, issues, thoroughly investigated. AI-based across different disciplines, using open-source data current advancements growth this domain. investigation will aid researchers their exploration technologies.

Language: Английский

Citations

4
Blockchain for water management DOI
Mohammadreza Mohammadi, Yaghoub Abdi, Farzad Pour Rahimian

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 229 - 242

Published: Jan. 1, 2025

Language: Английский

Citations

0
Optimizing Deep Learning Models for Climate-Related Natural Disaster Detection from UAV Images and Remote Sensing Data DOI Creative Commons

Kim VanExel,

Samendra P. Sherchan, Siyan Liu

et al.

Journal of Imaging, Journal Year: 2025, Volume and Issue: 11(2), P. 32 - 32

Published: Jan. 24, 2025

This research study utilized artificial intelligence (AI) to detect natural disasters from aerial images. Flooding and desertification were two taken into consideration. The Climate Change Dataset was created by compiling various open-access data sources. dataset contains 6334 images UAV (unmanned vehicles) satellite then used train Deep Learning (DL) models identify disasters. Four different Machine (ML) used: convolutional neural network (CNN), DenseNet201, VGG16, ResNet50. These ML trained on our so that their performance could be compared. DenseNet201 chosen for optimization. All four performed well. ResNet50 achieved the highest testing accuracies of 99.37% 99.21%, respectively. project demonstrates potential AI address environmental challenges, such as climate change-related study’s approach is novel creating a new dataset, optimizing an model, cross-validating, presenting one DL detection. Three categories (Flooded, Desert, Neither). Our relates Environmental Sustainability. Drone emergency response would practical application project.

Language: Английский

Citations

0
UTILIZAÇÃO DE SISTEMAS DE AERONAVES NÃO TRIPULADAS NA GESTÃO DE SEGURANÇA DE BARRAGENS DOI

Dayanne Ellen da Silva e Silva,

Simone Rosa da Silva, Emília Rahnemay Kohlman Rabbani

et al.

GEOFRONTER, Journal Year: 2025, Volume and Issue: 11, P. e9219 - e9219

Published: May 7, 2025

Nos últimos anos, a gestão de segurança barragens tem sido aprimorada com o avanço tecnológico, os Sistemas Aeronaves Não Tripuladas, tradução Unmanned Aircraft Systems – UAS, vêm se destacando como uma solução eficaz e econômica para monitoramento inspeções. A utilização das UAS permite obtenção dados alta resolução alcance áreas inacessíveis por métodos tradicionais, proporcionando maior eficiência precisão nas avaliações estruturais na análise condições barragens. Este trabalho objetivo realizar Revisão Sistemática Literatura sobre aplicação barragens, identificando principais uso dessas aeronaves inspeção, mapeamento, risco. pesquisa examina quais as tecnologias associadas ao dos visando preventiva sustentável recursos hídricos resposta rápida frente possíveis falhas estruturais. O método PRISMA foi utilizado selecionar analisar 54 estudos acadêmicos partir três bases dados: Web of Science, Scopus Science Direct. Como resultado, observou-se que adoção da tecnologia representa um significativo do risco em além facilitar acesso remotas, possibilitando identificação precoce auxiliando tomada decisões estratégicas. Essas vantagens reforçam papel ferramentas estratégicas riscos voltadas à

Citations

0
Artificial intelligence-powered visual internet of things in smart cities: A comprehensive review DOI

Omar El Ghati,

Othmane Alaoui-Fdili,

Othman Chahbouni

et al.

Sustainable Computing Informatics and Systems, Journal Year: 2024, Volume and Issue: 43, P. 101004 - 101004

Published: May 29, 2024

Language: Английский

Citations

2
Non-Line-of-Sight Positioning Method for Ultra-Wideband/Miniature Inertial Measurement Unit Integrated System Based on Extended Kalman Particle Filter DOI Creative Commons
Chengzhi Hou, Wanqing Liu,

Hongliang Tang

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(8), P. 372 - 372

Published: Aug. 3, 2024

In the field of unmanned aerial vehicle (UAV) control, high-precision navigation algorithms are a research hotspot. To address problem poor localization caused by non-line-of-sight (NLOS) errors in ultra-wideband (UWB) systems, an UWB/MIMU integrated method was developed, and particle filter (PF) algorithm for data fusion improved upon. The extended Kalman (EKF) used to improve constructing importance density function (IDF) traditional PF, so that sampling process fully considers real-time measurement information, increases efficiency, weakens degradation phenomenon, reduces UAV positioning error. We compared accuracy proposed (EKPF) with EKF unscented (UKF) through simulation, results proved effectiveness outdoor experiments. found that, NLOS environments, pure UWB positioning, EKPF X- Y-directions increased 35% 39%, respectively, error Z-direction considerably reduced, which practicability algorithm.

Language: Английский

Citations

2