Real-Time Object Detection Based on UAV Remote Sensing: A Systematic Literature Review DOI Creative Commons
Zhen Cao, Lammert Kooistra, Wensheng Wang

et al.

Drones, Journal Year: 2023, Volume and Issue: 7(10), P. 620 - 620

Published: Oct. 3, 2023

Real-time object detection based on UAV remote sensing is widely required in different scenarios. In the past 20 years, with development of unmanned aerial vehicles (UAV), technology, deep learning and edge computing research real-time fields has become increasingly important. However, since a comprehensive task involving hardware, algorithms, other components, complete implementation often overlooked. Although there large amount literature sensing, little attention been given to its workflow. This paper aims systematically review previous studies about from application scenarios, hardware selection, paradigms, algorithms their optimization technologies, evaluation metrics. Through visual narrative analyses, conclusions cover all proposed questions. more demand scenarios such as emergency rescue precision agriculture. Multi-rotor UAVs RGB images are interest applications, mainly uses documented processing strategies. GPU-based platforms used, preferred for detection. Meanwhile, need be focused resource-limited platform deployment, lightweight convolutional layers, etc. addition accuracy, speed, latency, energy equally important Finally, this thoroughly discusses challenges sensor-, computing-, algorithm-related technologies It also prospective impact future developments autonomous communications target

Language: Английский

Unmanned Aerial Vehicles for Search and Rescue: A Survey DOI Creative Commons
Mingyang Lyu, Yibo Zhao, Chao Huang

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(13), P. 3266 - 3266

Published: June 25, 2023

In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their flexibility, mobility, and accessibility in various fields, including search rescue (SAR) operations. The use of UAVs SAR can greatly enhance the task success rates reaching inaccessible or dangerous areas, performing challenging operations, providing real-time monitoring modeling situation. This article aims help readers understand latest progress trends this field by synthesizing organizing papers related UAV rescue. An introduction types components importance operations is settled first. Additionally, we present a comprehensive review sensor integrations for highlighting roles target perception, localization, identification. Furthermore, elaborate on applications SAR, on-site modeling, perception localization targets, such as assignment, path planning, collision avoidance. We compare different approaches methodologies used studies, assess strengths weaknesses approaches, provide insights addressing research questions relating specific SAR. Overall, presents overview significant role It emphasizes vital contributions drones enhancing mission rates, augmenting situational awareness, facilitating efficient effective activities. discusses potential avenues performance

Language: Английский

Citations

119
Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0 DOI Creative Commons
Saeed Hamood Alsamhi, Alexey V. Shvetsov, Santosh Kumar

et al.

Drones, Journal Year: 2022, Volume and Issue: 6(7), P. 177 - 177

Published: July 18, 2022

Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation paradigm enabled with smart applications the Beyond Fifth Generation (B5G) wireless communication networks. These networks have an avenue for generating considerable amount of heterogeneous data by expanding number Internet Things (IoT) devices environments. However, storing and processing massive limited computational capability energy availability at local nodes IoT network has been significant difficulty, mainly when deploying Artificial Intelligence (AI) techniques to extract discriminatory information from different tasks.Therefore, Mobile Edge Computing (MEC) evolved as promising computing leveraged efficient technology improve quality services edge performance better than cloud networks, addressing challenging problems latency computation-intensive offloading UAV-assisted framework. This paper provides comprehensive review intelligent UAV enable 6G over We highlight utility critical role Federated Learning (FL) meeting challenges related energy, security, task offloading, present reader insight into computing, advantages, applications, that can provide helpful guidance future research.

Language: Английский

Citations

93
An Unmanned Aerial Vehicle (UAV) System for Disaster and Crisis Management in Smart Cities DOI Open Access
Wedad Alawad, Nadhir Ben Halima, Layla Aziz

et al.

Electronics, Journal Year: 2023, Volume and Issue: 12(4), P. 1051 - 1051

Published: Feb. 20, 2023

Over the course of last decade, unmanned aerial vehicle (UAV) research community has received a significant amount attention. Emergency response operations, such as those that follow natural disaster, are one civil applications could benefit from use UAVs in disaster and crisis management. In event catastrophic event, it would be extremely beneficial for both victims first responders to have access UAV network is capable deploying independently offering communication services. However, when working with complicated situations, most difficult things coming up exploratory paths networks involved. A management system using swarm optimization algorithm (SOA) proposed assist this system, search rescue team follows strategy called delay tolerant network, which ability explore. The approach able find global maximum space without ever settling suboptimal solution. This work two primary objectives: investigate potential zone, second direct number victim groups were found during investigation phase. For purpose performing characterization, performance metrics delay, throughput, rate, path loss been analyzed. results show superiority over existing work.

Language: Английский

Citations

63
Navigating the nexus of security and privacy in modern financial technologies DOI Creative Commons

Florence Olweny

GSC Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 18(2), P. 167 - 197

Published: Feb. 14, 2024

As the financial service sector rapidly evolves with integration of cutting-edge technologies, intersection security and privacy becomes paramount. This paper delves into intricate landscape issues within sector, offering a comprehensive analysis challenges opportunities presented by emerging technologies. From blockchain to artificial intelligence, explores vulnerabilities inherent in these innovations consequential threats sensitive data. Through an examination recent case studies, regulatory frameworks, technological advancements, this work aims provide nuanced understanding evolving threat landscape. Additionally, proposes strategic solutions best practices fortify architecture surrounding fostering resilient trustworthy ecosystem. research contributes ongoing dialogue imperative safeguarding systems, ensuring that innovation aligns seamlessly imperatives confidentiality, integrity, availability era where services advancements are inextricably linked.

Language: Английский

Citations

19
Unmanned Aircraft Systems (UASs): Current State, Emerging Technologies, and Future Trends DOI Creative Commons
Gennaro Ariante, Giuseppe Del Core

Drones, Journal Year: 2025, Volume and Issue: 9(1), P. 59 - 59

Published: Jan. 15, 2025

Unmanned aircraft, commonly referred to as drones, represent a valuable alternative for various operational tasks due their versatility, flexibility, cost-effectiveness, and reusability. These features make them particularly advantageous in environments that are hazardous or inaccessible humans. Recent developments have highlighted significant increase the use of unmanned aircraft within metropolitan areas. This growth has necessitated implementation new regulations guidelines ensure safe integration UAS into urban environments. Consequently, concept UAM emerged. refers an innovative air transportation paradigm designed both passengers cargo settings, leveraging capabilities drones. review manuscript explores latest advancements UAS, focusing on updated regulations, definitions, enabling technologies, airspace classifications relevant operations. Additionally, it provides comprehensive overview systems, including classifications, key features, primary applications.

Language: Английский

Citations

2
Blockchain-Empowered Security and Energy Efficiency of Drone Swarm Consensus for Environment Exploration DOI
Saeed Hamood Alsamhi, Alexey V. Shvetsov, Alexey V. Shvetsov

et al.

IEEE Transactions on Green Communications and Networking, Journal Year: 2022, Volume and Issue: 7(1), P. 328 - 338

Published: Aug. 8, 2022

The Internet of Drones (IoD) allows drones to collaborate safely while operating in a restricted airspace for numerous applications Industry 4.0 world. Energy efficiency and sharing sensing data are the main challenges swarm-drone collaboration performing complex tasks effectively efficiently real-time. Information security consensus achievement is required multi-drone presence Byzantine drones. may be enough cause present swarm coordination techniques collapse, resulting unpredictable or calamitous results. One more lead failure exploring environment. Moreover, Blockchain technology early stage drone collaboration. Therefore, we introduce novel blockchain-based approach managing during operation. Within swarms, blockchain utilized as communication tool broadcast instructions swarm. This paper aims improve process collaboration, energy efficiency, connectivity environment's exploration maintaining effectiveness. Improving among will increase possibility stability by improving smart world solving real environmental issues.

Language: Английский

Citations

68
A survey of mobility-aware Multi-access Edge Computing: Challenges, use cases and future directions DOI
Ramesh Singh, Radhika Sukapuram, Suchetana Chakraborty

et al.

Ad Hoc Networks, Journal Year: 2022, Volume and Issue: 140, P. 103044 - 103044

Published: Nov. 18, 2022

Language: Английский

Citations

52
Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach DOI Creative Commons
Xiucheng Wang,

Lianhao Fu,

Nan Cheng

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(17), P. 4377 - 4377

Published: Sept. 3, 2022

Unmanned aerial vehicles (UAVs) are widely used in Internet-of-Things (IoT) networks, especially remote areas where communication infrastructure is unavailable, due to flexibility and low cost. However, the joint optimization of locations UAVs relay path selection can be very challenging, when numbers IoT devices large. In this paper, we formulate UAV paths UAV-relayed networks as a graph problem, propose neural network (GNN)-based approach solve it an efficient scalable way. training procedure, design reinforcement learning-based GNN (RGNN) select best for each user. The theoretical analysis shows that time complexity RGNN two orders lower than conventional method. Then, jointly exploit location (LGNN) trained optimize all UAVs. Both GNNs without relying on data, which usually unavailable context wireless networks. inference LGNN first UAVs, then based output LGNN. Simulation results show proposed achieve comparable performance brute-force search with much relatively small. Remarkably, highly large-scale adaptable dynamics environment, hardly achieved using methods.

Language: Английский

Citations

51
Autonomous Unmanned Aerial Vehicles in Bushfire Management: Challenges and Opportunities DOI Creative Commons
Shouthiri Partheepan, Farzad Sanati, Jahan Hassan

et al.

Drones, Journal Year: 2023, Volume and Issue: 7(1), P. 47 - 47

Published: Jan. 10, 2023

The intensity and frequency of bushfires have increased significantly, destroying property living species in recent years. Presently, unmanned aerial vehicle (UAV) technology advancements are becoming increasingly popular bushfire management systems because their fundamental characteristics, such as manoeuvrability, autonomy, ease deployment, low cost. UAVs with remote-sensing capabilities used artificial intelligence, machine learning, deep-learning algorithms to detect fire regions, make predictions, decisions, optimize fire-monitoring tasks. Moreover, equipped various advanced sensors, including LIDAR, visual, infrared (IR), monocular cameras, been monitor due potential provide new approaches research opportunities. This review focuses on the use for detection, prediction, autonomous navigation, obstacle avoidance, search rescue improve accuracy prediction minimize impacts people nature. objective this paper is valuable information UAV-based machine-learning predict effectively respond inaccessible areas using intelligent UAVs. aims assemble about examine benefits limitations existing techniques related handling. However, we conclude that, despite management, there shortcomings accuracy, solutions need be optimized effective management.

Language: Английский

Citations

42
A UAV-Swarm-Communication Model Using a Machine-Learning Approach for Search-and-Rescue Applications DOI Creative Commons

Hisham Khalil,

Saeed Ur Rahman, Inam Ullah

et al.

Drones, Journal Year: 2022, Volume and Issue: 6(12), P. 372 - 372

Published: Nov. 23, 2022

This paper presents a UAV-swarm-communication model using machine-learning approach for search-and-rescue applications. Firstly, regarding the communication of UAVs, receive signal strength (RSS) and power loss have been modeled random forest regression, mathematical representation channel matrix has also discussed. The second part consisted swarm control modeling UAVs; however, dataset five types triangular formations was generated, K-means clustering applied to predict cluster. In order obtain correct formation, dendrogram all investigated. Finally, heat map contour were plotted kinds clusters. Furthermore, it observed that RSS proposed swarms had good agreement with distances.

Language: Английский

Citations

40