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.

This paper represents the result of the IAEG C35 Commission “Monitoring methods and approaches in engineering geology applications” workgroup aimed to describe a general overview of unmanned aerial vehicles (UAVs) and their potentiality in several engineering geological applications.

The different types of UAVs, the regulatory laws for UAV activities, their use cases, recreational, and military UAV incidents, and their prevention using anti-UAV techniques are discussed.

Agriculture is the primary source of income in developing countries like India. Agriculture accounts for 17 percent of India’s total GDP, with almost 60 percent of the people directly or indirectly employed. While researchers and planters focus on a variety of elements to boost productivity, crop loss due to disease is one of the most serious issues they confront. Crop growth monitoring and early detection of pest infestations are still a problem. With the expansion of cultivation to wider fields, manual intervention to monitor and diagnose insect and pest infestations is becoming increasingly...

An attempt has been made to explore the types of sensors suitable for smart farming, potential requirements and challenges for operating UAVs in smart agriculture, and the future applications of using UAV's in smart farming.

An in-depth survey of different collision avoidance techniques that are categorically explained along with a comparative analysis of the considered approaches w.r.t. different scenarios and technical aspects is provided.

Presently in agriculture, there is much ample scope for drone and UAS (Unmanned Aircraft System) development. Because of their low cost and small size, these devices have the ability to help many developing countries with economic prosperity. The entire aggregation of financial investments in the agricultural area has increased appreciably in recent years. Sooth to say, agriculture remains a massive part of the world’s commercial growth, and due to some complications, the agriculture fields withstand massive losses. Pets and destructive insects seem to be the primary reasons for certain degene...

This study presents a future perspective of 6G-enabled UTM ecosystems in a very dense and urban air-traffic scenario focusing on non-terrestrial features, including aerial and satellite communication.

A semiquantitative reliability analysis framework is proposed to identify and evaluate the criticality of mission failures—at both system and component levels—in inspection drones, with the goal of lowering the operation and maintenance (O&M) costs as well as improving personnel safety in offshore wind farms.

A broad understanding gained from the survey overall will assist with the design of a holistic CUS and inspire cross-domain research across physical layer designs in wireless communications, CUS network designs, control theory, mechanics, and computer science, to enhance counter UAV techniques further.

This is the first study on adversarial attacks and defenses against DL-based UAVs, which calls for more attention to the security and safety of such safety-critical applications.

This paper aims to provide an overview of currently available UAV-based technologies and sampling methodologies which can be used to quantify methane emission fluxes at local scales.

UAVs have proven to be useful due to their maneuverability, allowing for the implementation of remote sensing, allocation strategies and task planning, and can provide a low-cost alternative for the prevention, detection and real-time support of firefighting.

A multi-classifier scheme with a two-step score-based aggregation method, using RF data augmentation to increase neural network robustness to hovering-induced variations, and extending the multi- classifier scheme for detecting a new UAV, not seen earlier during training are proposed.

The formation control strategies under fault-free flight conditions of multi-UAVs are first summarized and analyzed, including the leader-following, behavior- based, virtual structure, collision avoidance, algebraic graph-based, and close formation control methods, which are viewed as the cooperative control methods for multi- UAVs at the pre-fault stage.

UAV applications have become a major means of biodiversity conservation and biodiversity-friendly management in agriculture, while latest developments, such as the miniaturization and decreasing costs of hyperspectral sensors, promise many new applications for the future.

Abstract The hydrologic sciences and water resources management have long depended on a combination of in situ measurements and remotely sensed data for research and regulatory purposes. In situ measurements are constrained in their spatial distribution by both logistics and costs. Satellite‐ and manned aircraft‐based remote sensing provide spatially broad data, but often of a coarse resolution. Furthermore, all these data collection methods are often limited in their ability to respond to specific short‐term events when the data and imagery could inform real‐time assessment and decision‐makin...

A comprehensive review of vision-based UAV navigation techniques for UAVs is provided and existing techniques have been categorized and extensively reviewed with regard to their capabilities and characteristics.

An unmanned aerial vehicle (UAV)‐based noncontact cable force estimation method with computer vision technologies has the capability of enhancing the Fourier spectrum magnitude of bridge cables and reducing the effect of UAV motion on extraction of cable vibration frequencies.

A special detection method for small objects in UAV perspective based on YOLOv3, the Resblock in darknet is first optimized by concatenating two ResNet units that have the same width and height and the entire darknet structure is improved by increasing convolution operation at an early layer to enrich spatial information.

A smart traffic surveillance system based on Unmanned Aerial Vehicle (UAV) using 5G technology that covers the existing limitations of the SAHER system deployed in KSA and will further reduce the number of accidents and fatalities and injuries caused by it.