Top Research Papers on Drones

Abstract During recent years, advances in drone technologies have made them applicable in various fields of industry, and their popularity continues to grow. In this paper, the academic contributions on drones routing problems are analyzed between 2005 and 2019 to identify the main characteristics of these types of problems, as well as the research trends and recent improvements. The literature is classified according to the objectives optimized, solution methods, applications, constraints, and whether they use a complementary vehicle or not. Finally, a discussion for trends and future researc...

This work additionally explores the technical standardisation landscape and highlights synergies between scientific research and standardisation efforts towards enabling safe UAV operations, while taking into consideration additional IoT inherent challenges such as security, data protection and privacy.

The lightweight Unmanned Aerial Vehicle (UAV) flight activities are constrained, particularly in the UAV range or activity span and perseverance, by the strategic correspondence link capabilities. This paper tends to the different overlap issue of trading off a set of mission prerequisites, the UAV execution parameters, and strategic credibility; thus compromising between the communication load characterized by a crucial, communication link transmitting power necessities, power accessibility onboard UAV as a weight-restricted parameter, and the UAV security.

This work aims at providing the reader with an overview of the agronomical use of unmanned aerial vehicles by providing a classification of the vehicles according to their typology and main sensorial and performance features.

A critical review of UAV reliability literature in both theoretical and practical research is presented, pinpointing failure causes and reliability challenges of Uav systems, classifying and reflecting on the reliability modeling, analysis, and design methods for UAV systems and key subsystems.

In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) operations. The use of UAVs in SAR can greatly enhance the task success rates in reaching inaccessible or dangerous areas, performing challenging operations, and providing real-time monitoring and modeling of the situation. This article aims to help readers understand the latest progress and trends in this field by synthesizing and organizing papers related to UAV search and rescue. An introduction to the various type...

A roadmap to understand the successive development of advanced drones/ UAVs in terms of their geometric structure, flying mechanism, sensing and vision ability, aviation quality, path planning, intelligent behaviour and adoptability is presented.

A thorough treatment of UAV wireless communications and networking research challenges and opportunities, Featuring discussion of practical applications including drone delivery systems, public safety, IoT, virtual reality, and smart cities, is provided.

Various applications of blockchain in UAV networks such as network security, decentralized storage, inventory management, surveillance, etc., are reviewed and various challenges to be addressed in the integration of blockchain and UAVs are discussed.

This paper sheds light on three UAV-enabled mobile edge computing (MEC) architectures, and presents a comprehensive survey for the state-of-the-art research in this domain.

Unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs) are used to form a cognitive mobile computing network for co-operative search and rescue, and reinforcement learning (RL) is used to plan search path and improve communication throughput.

A vehicle-assisted computing offloading architecture for UAVs is proposed to improve offloading efficiency by harnessing the moving vehicles in smart city and demonstrates that the proposed offloading scheme can significantly save resource and improve the utilities of UAV's and vehicles.

As a new type of aerial robotics, drones are easy to use and inexpensive, which has facilitated their acquisition by individuals and organizations. This unequivocal and widespread presence of amateur drones may cause many dangers, such as privacy breaches by reaching sensitive locations of authorities and individuals. In this paper, we summarize the performance-affecting factors and major obstacles to drone use and provide a brief background of deep learning. Then, we summarize the types of UAVs and the related unethical behaviors, safety, privacy, and cybersecurity concerns. Then, we present ...

The purpose of this study is to explore the vulnerabilities in the security protocols of UAVs and propose guidelines to improve the security and provide future research directions.

A UAV-enabled IoE (Ue-IoE) solution is introduced by exploiting UAVs’s mobility, in which it is shown that Ue-ioE can greatly enhance the scalability, intelligence and diversity of IoE.

A brief review of the UAV control issues, including motion equations, various classical and advanced control approaches, as well as some challenging topics and future research directions are raised.

The use of drones, formally known as unmanned aerial vehicles (UAVs), has significantly increased across a variety of applications over the past few years and the challenges and communication requirements associated with UAV-based communication systems are considered.

Purpose: Computer vision in drones has gained a lot of attention from artificial intelligence researchers. Providing intelligence to drones will resolve many real-time problems. Computer vision tasks such as object detection, object tracking, and object counting are significant tasks for monitoring specified environments. However, factors such as altitude, camera angle, occlusion, and motion blur make it a more challenging task. Methodology: In this paper, a detailed literature review has been conducted focusing on object detection and tracking using UAVs concerning different applications. Thi...

A comprehensive study on UAVs, swarms, types, classification, charging, and standardization is presented, highlighting the importance of drones, goals and functionality problems, and identifying the research gap.

Owing to usual logistic hardships related to field-based cryospheric research, remote sensing has played a significant role in understanding the frozen components of the Earth system.