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IEEE INTERNET OF THINGS JOURNAL
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Summary: This study comprehensively examines the flight control and SLAM methods for quadrotors, providing a quick reference resource for researchers. It includes an introduction to quadrotors, an analysis of control methods, and a discussion of SLAM techniques. Comparative studies and hardware implementations are presented, facilitating effective method selection.
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Review
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Summary: This paper reviews the progress in face mask detection research, with a focus on deep learning and deep transfer learning techniques. It first describes and discusses existing face mask detection datasets, then presents recent advances in object detectors and Convolutional Neural Network architectures, as well as the different deep learning techniques that have been applied. Benchmarking results are summarized, and the limitations of datasets and methodologies are discussed. Lastly, future research directions are discussed in detail.
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Summary: This paper presents recent developments in Fault-Tolerant Cooperative Control (FTCC) of multiple unmanned aerial vehicles (multi-UAVs). It summarizes and analyzes the formation control strategies under fault-free flight conditions, as well as the state-of-the-art developments on individual, leader-following, and distributed FTCC schemes for multi-UAVs.
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CHINESE JOURNAL OF AERONAUTICS
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Summary: This study analyzes the development and application of adaptive antennas in wireless networks, and explores the potential role of intelligent learning techniques in antenna technology, providing a method to enhance wireless transmission efficiency. The research describes adaptive antenna structures from different perspectives and classifies and discusses them using intelligent algorithms.
COMPUTER COMMUNICATIONS
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Review
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Moad Idrissi et al.
Summary: This study aims to provide a clear categorization overview of the significant progress in unmanned aerial vehicles (UAVs) over the past decade. It covers aspects such as mechanical structures, technical elements, and control strategies. The study finds that the dynamic system often faces limitations due to internal and/or external disturbances, which can be minimized through the introduction of appropriate control techniques or mechanical enhancements.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
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Computer Science, Artificial Intelligence
Alejandro Puente-Castro et al.
Summary: Path planning problems with UAVs are well-studied, with applications in swarms speeding up flight time and reducing costs. The integration of AI algorithms allows for centralized control of multiple aircraft and optimal path computation. The review of recent literature shows an increasing trend in the use of AI techniques, indicating a shift in predominant methods.
NEURAL COMPUTING & APPLICATIONS
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Review
Engineering, Electrical & Electronic
Manel Khelifi et al.
Summary: Swarm Unmanned Aerial Vehicles (SUAVs) have experienced significant growth in the past decade, being widely used in military, environmental surveillance, air transport, and public entertainment. However, the accuracy of their location information is affected by GPS signal obscuration or interference, requiring the use of other localization techniques. The advancements in localization, guidance, and communication technologies will enable future SUAVs to operate autonomously and coordinate tasks through UAV to UAV communication.
JOURNAL OF SENSORS
(2022)
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Meng-Tse Lee et al.
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APPLIED SCIENCES-BASEL
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Katarzyna Fudala et al.
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GLOBAL ECOLOGY AND CONSERVATION
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Computer Science, Information Systems
Yassine Himeur et al.
Summary: Recommender systems in various application domains rely on analyzing massive user data, but often overlook security and privacy concerns. Blockchain technology is seen as a promising solution due to its security, privacy, resilience, adaptability, fault tolerance, and trust characteristics. This paper provides a holistic review of blockchain-based recommender systems, highlighting challenges, issues, and solutions for enhancing security and privacy.
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Energy & Fuels
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Summary: This paper presents a prototype of a diagnostic system to recognize and identify broken blades of rotary wing UAVs. The system analyzes acoustic emission recorded with an onboard microphone array using an artificial neural network to classify characteristic features of acoustic signals based on Mel Frequency Spectrum Coefficients. Extensive evaluation of the model's parameters resulted in a highly accurate fault classifier.
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Chemistry, Analytical
Sung-Geon Kim et al.
Summary: With the advancement of technology, the use of unmanned aerial vehicles (UAVs), also known as drones, has become widespread. However, there has also been an increase in illegal activities involving drones, such as terrorism and unauthorized surveillance. This has led to active research on anti-drone methods, specifically intentional electromagnetic interference (IEMI) applied to drone sensor modules. This paper reviews various studies on the effect of IEMI on sensor modules, categorizing them based on power level, information needed, and frequency. The results of IEMI experiments on major sensor modules used in drones are presented, along with a discussion on the effectiveness and limitations of the proposed methods, and potential areas for further research.
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Ibrahim A. Nemer et al.
Summary: This paper introduces a novel distributed control solution called SBG-AC, which focuses on improving coverage score with minimum energy consumption and high fairness value by placing a group of UAVs in a candidate area. The state-based potential game is used to model the complex interactions, and the actor-critic algorithm is merged to ensure convergence and distributed control of each UAV with learning capabilities in dynamic environments. Simulation results show that SBG-AC outperforms other algorithms in terms of fairness, coverage score, and energy consumption.
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Nourdine Aliane et al.
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Review
Environmental Sciences
Pedro Pina et al.
Summary: A comprehensive review of the use of unmanned aerial vehicles (UAVs) in scientific activities in Antarctica is presented in this paper, based on the analysis of 190 scientific publications. The use of UAVs has revolutionized remote sensing technology in Antarctica, allowing for the acquisition of more detailed and cost-effective data, particularly in terrestrial, ice and snow, fauna, and atmosphere studies. However, the increasing use of UAVs may have impacts on the sensitive Antarctic ecosystems, highlighting the need for international coordination to plan and share UAV data in order to minimize environmental impacts.
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Gabriella Colajanni et al.
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IEEE COMMUNICATIONS MAGAZINE
(2022)
Review
Multidisciplinary Sciences
Mohammad Monirujjaman Khan et al.
Summary: The future of wireless communication networks relies heavily on machine learning and deep learning for increased coverage and spectrum efficiency. Applying machine learning and deep learning in antenna design applications can accelerate the design process, reduce the number of simulations, and improve computational feasibility.
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Scientia Sinica Informationis
(2022)
Review
Computer Science, Information Systems
Yassine Himeur et al.
Summary: With the widespread use of IoT, mobile phones, connected devices, and AI, recommender systems have become a booming technology. However, the characteristics of modern recommender systems raise new security and privacy issues. This paper sheds light on the existing security and privacy concerns in modern RSs and provides a comprehensive survey of recent research efforts in this area.
COMPUTERS & SECURITY
(2022)
Article
Energy & Fuels
Marcin Chodnicki et al.
Summary: This article presents an energy-efficient method for controlling unmanned aircraft, including the development of algorithms for route planning, in-flight control, and trajectory correction. The study focuses on the integration of UAV systems into route planning algorithms and the planning and implementation methods under wind gust conditions. The models developed were tested using ARM processors and the presented solution utilizes both a flight control computer and a mission computer for efficient energy consumption.
Review
Engineering, Electrical & Electronic
Liangcai Xu et al.
Summary: This article provides a comprehensive review of the key technologies of FC UAVs, including propulsion system architectures, management strategies, special applications, and design procedures. The conclusions highlight the urgent need for advanced propulsion architectures, efficient energy management strategies, and professional design procedures in the commercial process of FC UAVs.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Green & Sustainable Science & Technology
Mariam Elnour et al.
Summary: This research presents the first review article addressing the research gap in building operation management and optimization for sports facilities. The study highlights the importance of considering climate zones and facility characteristics. The findings reveal limited research on sports facility management and optimization compared to residential and commercial buildings, with a majority of studies focused on facilities in cold regions. The study suggests future research directions, including the use of deep learning, modular solutions, and renewable energy systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Environmental Sciences
Simon Ecke et al.
Summary: Recent technological advances have led to an increasing use of unmanned aerial vehicles (UAVs) for forestry applications, particularly in the field of forest health monitoring (FHM). While UAVs offer advantages such as flexibility and high spatial resolution, there are still challenges that need to be addressed, including the need for long-term and multi-temporal forest monitoring, increased use of hyperspectral and LiDAR sensors, better utilization of complementary data from other remote sensing sources, standardized workflows, improved interpretability of complex machine learning algorithms, and a reduced reliance on commercial software.
Review
Chemistry, Analytical
Syed Agha Hassnain Mohsan et al.
Summary: The groundbreaking technology of Unmanned Aerial Vehicles (UAVs) has attracted significant attention for its various applications, including military missions, power lines inspection, precision agriculture, and delivery services. However, the limited battery endurance of UAVs poses challenges for their effective operation. Wireless and wired charging systems, such as laser power transfer and simultaneous wireless information and power transfer, have emerged as potential solutions. This paper provides a comprehensive review of UAV classification, charging methods, safety considerations, and future research directions.
Review
Geochemistry & Geophysics
Yuri Alvarez Lopez et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2022)
Review
Remote Sensing
Adhitya Saiful Hanif et al.
Summary: This study explores research trends in the application of unmanned aerial vehicle (UAV) variable-rate spraying for precise and adaptable pesticide spraying in agriculture. The use of autonomous control systems and a selection of hardware allows for spraying precision, UAV performance efficacy, and flexibility in meeting plant pesticide requirements. Future research can focus on combining variable-rate spraying with cropland mapping to determine pesticide needs and further enhance spraying precision.
Article
Remote Sensing
Pedro Arias-Perez et al.
Summary: Unmanned Aerial Vehicles (UAVs) are an integral part of various fields with numerous applications. This work introduces DroneWrapper, a middleware programming infrastructure built on the Robot Operating System (ROS) and implemented in Python, to simplify the development process of UAV applications for users with limited knowledge of aerial robotics. The infrastructure provides a user programming interface that abstracts complexities associated with the aircraft, allowing for the development of applications. Several drivers have been developed for different aerial platforms, and two applications, follow-color and follow-person, have been created to demonstrate the use of the infrastructure.
Review
Remote Sensing
Radoslaw Puchalski et al.
Summary: The continual expansion of UAV applications leads to development of more sophisticated systems and increased likelihood of component failure. This review article summarizes recent research on fault detection in unmanned flying systems, analyzing articles published between 2016 and 2022 using Web of Science and Google Scholar databases. Terminology related to UAV fault detection was used as keywords for searching and summarizing important details of each article in a table.
Article
Remote Sensing
Su Cao et al.
Summary: This article proposes an adaptive flight framework that combines a discrete-time incremental nonlinear dynamic inversion controller and a neural network-based observer for maneuvering flight. The framework takes into consideration modeling uncertainties and exogenous perturbations and uses the observer to alleviate their effects. By utilizing the Lyapunov synthesis method, the updating rule of the neural network's weights is introduced to enhance tracking performance and guarantee system stability. Numerical verification of a 6-DOF fixed-wing fighter performing aggressive flight maneuvers demonstrates the effectiveness of the proposed scheme. Extensive simulation results show that this versatile controller is more practical for aerobatic flights compared to other methods such as DSM and NDI.
Review
Engineering, Aerospace
Benke Gao et al.
Summary: An adaptive fault-tolerant control method integrated with fast terminal sliding mode control technology and neural network is proposed for the attitude system of a quadrotor unmanned aerial vehicle. The neural network is used to approximate the uncertain terms in the system. Adaptive laws are developed to estimate the unknown fault coefficient and predict the unknown upper bound of the total disturbance. A fast terminal sliding mode control scheme is developed for the attitude system to improve the convergence rate. The effectiveness and superiority of the proposed control method are verified through contrast tests.
AEROSPACE SCIENCE AND TECHNOLOGY
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Review
Computer Science, Information Systems
Ghada Alsuhli et al.
Summary: The use of unmanned aerial vehicles (UAVs) has become essential in various aspects of life, including commercial, military, search and rescue, monitoring, and communication. With the recent COVID-19 pandemic, the importance of robust and far-reaching communication systems has been highlighted. UAVs can play different roles in the communication process, serving as providers, relays, or consumers of communication. This study provides a novel classification of UAV-related communications, examining the role of UAVs and the communication technologies used. It also discusses the challenges and future directions for utilizing UAVs in different communication roles.
COMPUTER COMMUNICATIONS
(2022)
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Computer Science, Interdisciplinary Applications
Wei Liu et al.
Summary: This study proposes a hybrid optimization framework EA-DRL, which decomposes RMPP into target selection and path planning subproblems using evolutionary algorithm and deep reinforcement learning method, respectively, to optimize RMPP effectively.
COMPUTERS & INDUSTRIAL ENGINEERING
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Article
Engineering, Aerospace
Simone Baldi et al.
Summary: This article presents an adaptive method for improving the performance of fixed-wing UAVs controlled by ArduPilot autopilots. The method enhances the tracking ability and reduces control effort by augmenting the PID loops with a model-free adaptive control method.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Joe Khalife et al.
Summary: A framework is developed to achieve submeter-level horizontal navigation for unmanned aerial vehicles (UAVs) in multipath-free environments using cellular carrier phase measurements. Experimental data shows that the stability of cellular base transceiver station (BTS) clocks approaches that of atomic standards, and the clock deviations can be modeled as a stable autoregressive moving average model. The framework allows UAVs to achieve meter- to submeter-accurate navigation based on carrier phase measurements.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Review
Engineering, Civil
Junayed Pasha et al.
Summary: Drones are becoming increasingly popular for their advanced mobility and have a wide range of applications in various sectors. Effective drone scheduling, which involves optimizing flight paths and considering other factors such as battery capacity, is crucial in overcoming the limitations of drones. However, there is a lack of systematic literature survey on drone scheduling and future research needs. This study conducts an extensive survey of scientific literature on drone scheduling, categorizing studies and providing mathematical models, findings, and future research needs, aiming to assist stakeholders in designing effective drone schedules.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Computer Science, Artificial Intelligence
Yassine Himeur et al.
Summary: Analyzing satellite images and remote sensing data using artificial intelligence tools and data fusion strategies has the potential to revolutionize environmental monitoring and assessment. This paper provides a comprehensive review of existing methodologies and strategies, highlighting the challenges and opportunities, and presenting case studies showcasing the effectiveness of AI-based approaches.
INFORMATION FUSION
(2022)
Review
Computer Science, Artificial Intelligence
Santiago Matalonga et al.
Summary: Unmanned Aircraft Systems (UAS) services are expected to revolutionize the service industry with a projected value of 71 billion USD, but there are legal and technological limitations for remote piloting and autonomous operations. Current frameworks and lack of market incentives pose challenges for robust Detect and Avoid (D&A) capabilities. It is crucial to address legal liabilities and ensure product quality in certification processes to enable autonomous UAS operations.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2022)
Review
Environmental Sciences
Zongyao Yang et al.
Summary: With the rapid development of information technology and the increasing demand for remote sensing data, unmanned aerial vehicle (UAV) remote sensing technology has been widely used in various fields. Compared with traditional marine monitoring technologies, UAV remote sensing has become an important means for marine monitoring due to its flexibility, efficiency, and low cost, while still providing detailed and timely data. This study visualizes the application and research advances of UAV remote sensing in marine monitoring and provides a comprehensive review of its applications in marine management, disaster and environmental monitoring, and wildlife monitoring. The aim is to promote the extensive use of UAV remote sensing in marine research.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Review
Chemistry, Analytical
Foisal Ahmed et al.
Summary: This study focuses on the hardware reliability issues of UAV computing platforms which have been overlooked in previous research, aiming to provide solutions and future research directions in this area.
Article
Construction & Building Technology
Yassine Himeur et al.
Summary: Smart cities aim to reduce wasted energy, improve grid stability, and meet service demand by adopting next-generation energy systems and leveraging artificial intelligence, IoT, and communication technologies to collect and analyze real-time big data. However, training machine learning algorithms for energy-related tasks in sustainable smart cities is a challenging data science task. Transfer learning has been proposed as a promising solution to address these challenges.
SUSTAINABLE CITIES AND SOCIETY
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Article
Robotics
Fabrizio Schiano et al.
Summary: This study proposes a reconfigurable drone based on a modular design, which can adapt to different cargo shapes, sizes, and mass by automatically generating drone configurations and suitable flight controller parameters. This design represents a cheaper and more versatile alternative solution.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Management
Mohd Javaid et al.
Summary: The revolutionary technology of drones has significantly impacted the healthcare industry, providing innovative solutions and applications such as drug delivery and disaster mapping. During the COVID-19 pandemic, drones played a crucial role in addressing global health disparities.
JOURNAL OF INDUSTRIAL INTEGRATION AND MANAGEMENT-INNOVATION AND ENTREPRENEURSHIP
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Xitong Guo et al.
Summary: This paper provides a brief review of the recent research on control methods for quadrotor UAVs. The methods are classified into linear, nonlinear, and intelligent control, and each method is briefly reviewed.
2022 5TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND ELECTRICAL ENGINEERING TECHNOLOGY, EEET
(2022)
Proceedings Paper
Automation & Control Systems
Arthur Bucker et al.
Summary: In this study, a flexible language-based interface for human-robot collaboration is proposed, which allows users to reshape robot trajectories. By combining large language models and trajectory information, the model outperforms baseline methods in multiple simulated trajectory scenarios and is preferred by users in real-world robot experiments.
2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2022)
Proceedings Paper
Computer Science, Information Systems
Radheshyam Singh et al.
Summary: The ease of use and flexibility of drones attract attention from various industries and research fields. However, maintaining a reliable and secure command and control communication remains a challenge. This survey paper discusses the specifications and proposed enhancements in cellular technology for commanding and controlling UAVs, as well as the required network quality of service parameters for drone communication.
INTERNET OF THINGS, GIOTS 2022
(2022)
Review
Engineering, Aerospace
Long Xin et al.
Summary: This paper summarizes the research results in the field of vision-based autonomous landing for UAVs, categorizing them into static, dynamic, and complex scenarios. The key technologies are summarized, compared, and future development trends are pointed out.
Article
Social Sciences, Interdisciplinary
Palash Yuvraj Ingle et al.
Summary: The commercialization and advancement of unmanned aerial vehicles (UAVs) for surveillance have posed challenges for efficient analysis and storage of the UAV's surveillance camera and LIDAR data. In this study, we proposed an early fusion-based video synopsis method that combines 2D camera and 3D LIDAR point cloud data to extract meaningful information and detect abnormal objects. The satisfactory results achieved in fusion, synopsis construction, and abnormal object detection demonstrate the effectiveness of our approach.
Article
Computer Science, Information Systems
Shaowei Li et al.
Summary: This article investigates the collaborative mission capability and decision-making problem of multi-UAVs and proposes a reinforcement learning algorithm to address this issue. Each UAV is considered as an actor that collects data in a decentralized manner, while a centralized critic provides evaluation information. By introducing gate recurrent units and attention mechanism, the algorithm can learn better decision-making strategies in complex environments.
Article
Chemistry, Analytical
Yun Sun et al.
Summary: This paper proposes a methodology for building two-mode monitoring systems for industrial facilities using UAV, IoT, and DT technologies. It also suggests a set of reliability models for these systems. The results obtained can be used for further development and practical applications of SMs in industrial facilities.
Review
Remote Sensing
Robin John ap Lewis Hartley et al.
Summary: This article presents a review of BVLOS operations using unmanned aircraft in forest environments, discussing the unique challenges, international regulatory environment, and technological, operational, and other considerations. It also provides gaps for future research and a basis for further exploration.
Review
Computer Science, Artificial Intelligence
Caizhi Zhang et al.
Summary: This paper comprehensively reviews the current power supply systems used in UAVs and proposes solutions based on hybrid power systems and optimized energy management. The study finds that data-driven models with artificial intelligence have potential in intelligent energy management.
Article
Engineering, Aerospace
Mohamed Okasha et al.
Summary: This study evaluates the performance of three alternative controllers, PID, LQR, and MPC, on the Parrot Mambo mini-drone in an interior environment. The results show that MPC outperforms PID and LQR in terms of stability and robustness. All three controllers demonstrate similar tracking performance in simulations and experiments.
Review
Energy & Fuels
Dhaval Joshi et al.
Summary: This paper provides a comprehensive and critical evaluation of the development of electric unmanned aerial vehicles (UAVs), including the classification, components, control strategy, hybridization of power sources, and energy management system of the electric propulsion system. The evaluation aims to identify research gaps and provide guidance for future research.
FRONTIERS IN ENERGY RESEARCH
(2022)
Review
Remote Sensing
Shanyue Guan et al.
Summary: This literature review aims to evaluate the benefits and limitations of UAV-based sensing systems, focusing on camera-based and laser-based systems, in the context of construction and civil engineering. It also considers the risk factors associated with UAV operations at construction sites.
Review
Multidisciplinary Sciences
Faiyaz Ahmed et al.
Summary: This article provides a comprehensive survey and overview of commercially available UAVs, highlighting their developments in the past decade. It presents a roadmap for the advancements in terms of structure, mechanism, sensing ability, path planning, and more. The survey also identifies the relevant methodologies and applications in the field.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Information Systems
Sifat Rezwan et al.
Summary: This paper comprehensively surveys and categorizes several AI approaches for autonomous UAV navigation, including mathematical-based optimization and model-based learning approaches. The characteristics, types, navigation models, and applications of UAVs are highlighted, and the open research directions are discussed.
Article
Remote Sensing
Georgios Amponis et al.
Summary: This paper investigates the utilization of cellular-enabled drones as aerial base stations in next-generation cellular networks, discussing matters of mobility, energy availability, and improvements to the existing cellular network core.
Review
Automation & Control Systems
Saddam Hocine Derrouaoui et al.
Summary: Reconfigurable drones have gained significant attention in automation and flying robots due to their variable mechanical structure, adaptability, and potential for increased capabilities in various applications.
Article
Computer Science, Theory & Methods
Efstratios Kakaletsis et al.
Summary: Flight safety is a crucial issue in UAV navigation, especially when it comes to autonomous drones and UAV swarms. Although the main aspects of autonomous UAV technologies are well-covered, ensuring safe flying in unstructured environments, such as avoiding crowds and emergency landing, are often overlooked. This overview focuses on the importance of computer vision in addressing these safety issues and introduces a computer vision-based UAV flight safety pipeline.
ACM COMPUTING SURVEYS
(2022)
Article
Multidisciplinary Sciences
Sana Ben Aissa et al.
Summary: This paper focuses on the application of machine learning in UAVs and explores the challenges they face in mobility, communication, and resource management. Possible future research directions include investigating solutions for air to air, air to ground, and ground to air communications, as well as mobile edge computing, and highlighting the importance of UAV cooperation in 5G/6G networks.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Review
Geochemistry & Geophysics
Yuri Alvarez Lopez et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2022)
Review
Computer Science, Interdisciplinary Applications
Haque Nawaz et al.
Summary: The unmanned aerial vehicle communication networks consist of a group of UAVs flying autonomously in free space, facing challenges in collaboration and communication, such as communication link failures due to high speed and power limitations.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Review
Engineering, Aerospace
Jiakun Han et al.
Summary: Humans' desire for flight stems from the imitation of flying creatures in nature, leading to the development of bio-inspired flight systems which have become disruptive aviation technologies. This review summarizes the development path of biomimetic air vehicles and the flight principles of natural creatures in bionic aerodynamics, while proposing new challenges for the autonomy and intelligent development trend.
CHINESE JOURNAL OF AERONAUTICS
(2021)
Article
Robotics
Karishma Patnaik et al.
Summary: This paper reviews the research on reconfigurable multirotors (RMs) and classifies them into tiltrotors, multimodal RMs, and foldable RMs. The analysis covers mechanical design, challenges of low-level control, and high-level motion planning techniques, while also discussing critical parameters for design optimization and issues in developing a common control and motion planning algorithm.
INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS
(2021)
Article
Engineering, Aerospace
Lei He et al.
Summary: This paper proposes a novel explainable deep neural network-based path planner for autonomous flight of quadrotors in unknown environments, trained using Deep Reinforcement Learning method in simulation. A model explanation method based on feature attribution is introduced to provide easy-to-interpret textual and visual explanations for end-users to understand the behavior triggers.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Review
Agronomy
Daniel Olson et al.
Summary: The advancement of UAV technologies in agriculture offers producers the ability to enhance efficiency and quality of crop production, as well as the capability to quickly identify and address problematic areas.
Review
Computer Science, Hardware & Architecture
Liping Shi et al.
Summary: This paper reviews communication solutions for supporting a team of UAVs in the power line inspection industry, focusing on candidate wireless communication technologies' performance and UAV-related channel modeling, as well as analyzing the structure and performance of robotic communication middleware.
MICROPROCESSORS AND MICROSYSTEMS
(2021)
Review
Computer Science, Information Systems
Qingheng Song et al.
Summary: The paper provides a comprehensive survey on prototype and experimental measurements for UAV communications, focusing on cellular-connected UAVs, aerial relays, and data collection/dissemination scenarios. It also discusses future directions for UAV communications research and development.
SCIENCE CHINA-INFORMATION SCIENCES
(2021)
Article
Chemistry, Analytical
Taha Muezzinoglu et al.
Summary: The paper presents an intelligent real-time human-UAV interaction approach based on machine learning using wearable gloves, offering scientific contributions such as multi-mode command structure, machine-learning-based recognition, and task scheduling algorithms for high accuracy rates. The proposed approach processed signal data from wearable smart gloves in real time and achieved efficient performance with approximately 98% accuracy in testing.
Article
Transportation Science & Technology
Laurie A. Garrow et al.
Summary: This paper conducts a meta analysis and comprehensive review of urban air mobility (UAM) to guide future research directions. Potential research directions identified include refined demand models, high-fidelity simulation models, consideration of one-way demand and parking constraints, and evaluation of realistic energy profiles for UAM vehicles.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Computer Science, Information Systems
Hai T. Do et al.
Summary: This paper discusses the application of UAVs in monitoring and collecting information, as well as how artificial intelligence techniques can be used to improve the efficiency of video data streaming processing and reduce energy consumption. In addition to introducing the use of convolutional neural network technology to extract image features, a flocking control algorithm is deployed to manage and guide the UAV swarm to save energy.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2021)
Review
Green & Sustainable Science & Technology
Nahina Islam et al.
Summary: Smart farming utilizes technologies such as IoT and drones for interconnected operations with minimal supervision. The paper outlines major applications of IoT and UAV in smart farming and explores solutions for connectivity limitations through case studies. Future research challenges and solutions in this area are also identified.
Article
Chemistry, Multidisciplinary
Angel Madridano et al.
Summary: Advancements in unmanned aerial vehicles have led to exponential market growth, particularly in the development of UAV swarms. Current research focuses on achieving autonomous and cooperative navigation for these swarms.
APPLIED SCIENCES-BASEL
(2021)
Review
Engineering, Multidisciplinary
Ambar Israr et al.
Summary: With the advancement in communication technology and unmanned aerial vehicles, there have been significant improvements in health, energy, transportation, monitoring. This review paper focuses on the integration of IoT with UAVs, highlighting their importance in ensuring health and safety measures at construction sites and discussing limitations in current techniques.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Materials Science, Composites
Salvatore Brischetto et al.
Summary: The paper discusses the architecture and preliminary design of a UAV that can be adapted to different multirotor configurations. Customization and additive manufacturing are used to continuously upgrade the drone's performance and application scenarios. The analysis highlights the most severe conditions for the structure and validates the materials used.
JOURNAL OF COMPOSITES SCIENCE
(2021)
Review
Computer Science, Information Systems
Ahmad Taher Azar et al.
Summary: Unmanned Aerial Vehicles (UAVs) are increasingly used in various applications, requiring a high level of autonomy for accomplishing planned missions without human intervention. Artificial intelligence algorithms like deep reinforcement learning (DRL) are designed for UAVs' guidance, navigation, and control, but further research efforts are needed to address challenges in deployment in real-life scenarios.
Article
Engineering, Aerospace
Emre Kiyak et al.
Summary: This paper discusses the tracking algorithm based on deep learning and four deep learning tracking models, comparing them to prevent collision and achieve target tracking in autonomous aircraft. Among the four models (DCNN, DCNNFN, TLDCNN, and FNDCNNTL), FNDCNNTL had the shortest training time and nearly 100% accuracy rate.
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY
(2021)
Review
Engineering, Aerospace
Aleksandar Bauranov et al.
Summary: The article synthesizes academic and industry literature on the design and management of urban airspace, analyzing proposed concepts and identifying gaps in research. Most reviewed airspace concepts prioritize safety and capacity, neglecting factors like technological complexity, noise, and privacy. The article suggests a new research branch analyzing urban air mobility from an urban planning perspective, including zoning, air rights, public transportation, real estate development, public acceptance, and access inequalities.
PROGRESS IN AEROSPACE SCIENCES
(2021)
Review
Chemistry, Multidisciplinary
Cinzia Amici et al.
Summary: The design of the propulsion system for Unmanned Aerial Vehicles (UAVs) requires an inclusive multidisciplinary approach from the earliest design phases, as every design choice strictly impacts and is impacted by the overall working conditions. Various design methods are applied depending on expected applications and working conditions of UAVs, with a focus on the detailed design of specific drone elements and propulsion components in the literature.
APPLIED SCIENCES-BASEL
(2021)
Review
Plant Sciences
Zhongyu Sun et al.
Summary: This study reviewed the applications of UAVs in plant ecology and found a need for greater collaboration between remote sensing experts and plant ecologists. Most studies focus on technical aspects rather than ecological questions, and there is potential for extracting more ecologically meaningful parameters from UAV data to better understand vegetation communities.
JOURNAL OF PLANT ECOLOGY
(2021)
Proceedings Paper
Computer Science, Information Systems
Muhammet Taha Topalli et al.
Summary: Drones, with their low cost and ease of control, have become increasingly popular in various fields, providing convenience in activities such as photography and firefighting. The prototype drone detection system ATA-DRN is designed to automatically detect approaching drones using image processing methods. The model created using TensorFlow and MobileNetV2-SSD has been experimentally proven to be accurate.
2021 7TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND INFORMATION ENGINEERING (ICEEIE 2021)
(2021)
Proceedings Paper
Robotics
Leonardo Costa Ferreira et al.
Summary: This study compares the performance of LoRa and ZigBee wireless communication technologies in ad hoc networks. Experimental results show that XBee radios outperform LoRa radios in both bench and ground experiments.
2021 LATIN AMERICAN ROBOTICS SYMPOSIUM / 2021 BRAZILIAN SYMPOSIUM ON ROBOTICS / 2021 WORKSHOP OF ROBOTICS IN EDUCATION (LARS-SBR-WRE 2021)
(2021)
Article
Engineering, Aerospace
Nourhan Elmeseiry et al.
Summary: This paper introduces the classification, control applications, and future directions for UAVs; various control methods for design, fabrication, and analysis are discussed; challenges faced by UAVs such as battery charging, collision avoidance, and security are presented and discussed.
Review
Automation & Control Systems
Vemema Kangunde et al.
Summary: The paper reviews literature on drones controlled in real-time, highlighting the importance of real-time control for drones in performing sophisticated tasks. Progress has been made in developing highly maneuverable drones for various applications.
INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL
(2021)
Article
Green & Sustainable Science & Technology
Thomas Kirschstein
Summary: This study explores the energy-saving potential of drones in mixed fleets, with an emphasis on the impact of customer density and environmental conditions. In urban settings, drones have limited energy-saving potential, while in rural settings, they can contribute significantly to energy savings. Under favorable conditions such as calm winds and heavy traffic, drones have the potential to double energy savings.
CLEANER ENGINEERING AND TECHNOLOGY
(2021)
Proceedings Paper
Materials Science, Multidisciplinary
S. Anush Lakshman et al.
Summary: The concept of unmanned aerial vehicles (UAVs) has been around for centuries, but recent advancements have focused on their design, applications, and control engineering. The current emphasis is on integrating drones or UAVs with the internet. This paper discusses a widely used method for connecting drones to the internet, explores various IoT and integrated drone protocols, and provides a brief overview of the historical context and potential future research opportunities.
MATERIALS TODAY-PROCEEDINGS
(2021)
Article
Remote Sensing
Luca Bigazzi et al.
Summary: This paper proposes a multilevel architecture that interfaces an on-board computer with a generic UAV flight controller and its radio receiver, allowing for more complex flight tasks. The platform can act as a cyber pilot in specific operating scenarios, simplifying the development of autonomous flight operations based on AI algorithms.
Review
Engineering, Electrical & Electronic
George K. Fourlas et al.
Summary: The continuous evolution of modern technology has led to the creation of increasingly complex and advanced systems, including Unmanned Aerial Vehicles (UAVs) where fault diagnosis and fault tolerance are crucial for ensuring reliable performance. Specifically designed fault-monitoring systems are required to supervise and debug subsystems such as sensors and actuators to prevent disastrous consequences.
Review
Computer Science, Information Systems
Mohamad Hazwan Mohd Ghazali et al.
Summary: The term Internet of Things (IoT) has transformed our daily lives with smart products and essential tasks. UAV-based LoRa communication networks provide low bit rate connectivity for high reliability in long-range transmission applications. This study also explores research perspectives and publication trends related to UAV-based LoRa communication networks.
Review
Chemistry, Analytical
Abdelzahir Abdelmaboud
Summary: The use of drones in daily life is valuable, and forming the Internet of drones (IoD) is a desirable trend for improving flight safety and quality. However, security, privacy, and communication issues exist with IoD implementation.
Review
Engineering, Multidisciplinary
Rupal Roy et al.
Summary: The quadrotor is an ideal platform for testing control strategies, but commercialization of control technologies is limited due to drawbacks such as high computation and uncertainty. This study thoroughly analyzes the effects of multiple controllers on quadrotors, focusing on controller hybridization and development as two separate approaches.
Article
Robotics
Saddam Hocine Derrouaoui et al.
Summary: A nonlinear robust Fast Terminal Sliding Mode Controller (FTSMC) is designed to control and stabilize a new reconfigurable Unmanned Aerial Vehicle (UAV) in the presence of uncertain and variable parameters. The controller offers many advantages, such as reaching desired states in finite time, robustness vis-a-vis uncertain and unknown parameters, fast convergence towards the sliding surface, high accuracy, and reducing chattering phenomena.
Article
Computer Science, Hardware & Architecture
L. Oyuki Rojas-Perez et al.
Summary: The first Autonomous Drone Racing (ADR) competition was launched in 2016 at IEEE IROS, and has since continued in 2017, 2018 and 2019, inspiring other international competitions like AlphaPilot and Game of Drones. These competitions require drones to perform on-board processing, leading teams to present various hardware solutions for this challenge.
INTEGRATION-THE VLSI JOURNAL
(2021)
Review
Computer Science, Information Systems
Prithvi Krishna Chittoor et al.
Summary: Unmanned Aerial Vehicles (UAVs) are gaining popularity in various fields, especially in applications such as parcel delivery. The future of UAV charging faces important challenges and the need for non-contact multi-device charging techniques. Research explores the importance and future trends of UAV charging technology.
Review
Transportation
Rakesh Shrestha et al.
Summary: The recent growth of unmanned aerial vehicles (UAVs) is attributed to their low development cost and wide range of applications. To effectively manage the increasing air traffic volume, advanced air traffic management systems are urgently needed. This paper compares the major low-altitude UAV traffic management systems in the United States and Europe, discusses key elements for urban air traffic management, and proposes strategic elements for advanced urban traffic management to maximize impacts on future air traffic and mobility systems.
FRONTIERS IN FUTURE TRANSPORTATION
(2021)
Article
Computer Science, Artificial Intelligence
Seif-El-Islam Hasseni et al.
Summary: This study investigates the control of a quadrotor using a PID controller. By designing a control structure and tuning controller parameters with stochastic nature-inspired algorithms, efficient path tracking performance is achieved. A comparison study between different optimization algorithms shows slight differences in the achieved performance.
EVOLUTIONARY INTELLIGENCE
(2021)
Review
Computer Science, Artificial Intelligence
Md Meftahul Ferdaus et al.
ARTIFICIAL INTELLIGENCE REVIEW
(2020)
Article
Automation & Control Systems
Shaobao Li et al.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2020)
Article
Computer Science, Artificial Intelligence
Bartomeu Rubi et al.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2020)
Article
Automation & Control Systems
Bao-Wen Chen et al.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2020)
Article
Automation & Control Systems
Ziquan Yu et al.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2020)
Review
Engineering, Electrical & Electronic
Bangkui Fan et al.
CHINESE JOURNAL OF ELECTRONICS
(2020)
Article
Environmental Sciences
Francesca Fumian et al.
Review
Chemistry, Multidisciplinary
Xi Chen et al.
APPLIED SCIENCES-BASEL
(2020)
Article
Engineering, Mechanical
Hossam Eddine Glida et al.
NONLINEAR DYNAMICS
(2020)
Article
Automation & Control Systems
N. Koksal et al.
Article
Computer Science, Information Systems
Yongjun Xu et al.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2020)
Article
Computer Science, Artificial Intelligence
Murillo Augusto da Silva Ferreira et al.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2020)
Review
Computer Science, Hardware & Architecture
Abhishek Sharma et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2020)
Article
Energy & Fuels
Maciej Podsedkowski et al.
Review
Chemistry, Analytical
Musa Galimov et al.
Article
Computer Science, Artificial Intelligence
Weibin Gu et al.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2020)
Article
Chemistry, Multidisciplinary
Jose M. Canas et al.
APPLIED SCIENCES-BASEL
(2020)
Article
Automation & Control Systems
Kada Belkacem et al.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2020)
Proceedings Paper
Computer Science, Theory & Methods
Rui Yin et al.
2020 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, COMPUTER TECHNOLOGY AND TRANSPORTATION (ISCTT 2020)
(2020)
Review
Remote Sensing
Fazal Noor et al.
Review
Multidisciplinary Sciences
Ashleigh Townsend et al.
Proceedings Paper
Computer Science, Artificial Intelligence
Xusheng Gan et al.
PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS)
(2020)
Proceedings Paper
Automation & Control Systems
Rafael Bailon-Ruiz et al.
2020 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'20)
(2020)
Article
Robotics
Enrico Ajanic et al.
Proceedings Paper
Automation & Control Systems
Chenxiang Ma et al.
2020 6TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR)
(2020)
Article
Computer Science, Information Systems
Mohamed A. Kassab et al.
Review
Transportation Science & Technology
Giusy Macrina et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Computer Science, Information Systems
Yongkun Zhou et al.
Article
Computer Science, Information Systems
Diego S. Pereira et al.
Article
Computer Science, Artificial Intelligence
Anh-Tu Nguyen et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
(2019)
Article
Computer Science, Information Systems
Marcos T. de Oliveira et al.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2019)
Article
Engineering, Aerospace
Michal Skowron et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING
(2019)
Article
Chemistry, Multidisciplinary
Bo Chen et al.
APPLIED SCIENCES-BASEL
(2019)
Review
Chemistry, Analytical
Stamatios Samaras et al.
Article
Engineering, Aerospace
J. S. Gray et al.
AERONAUTICAL JOURNAL
(2019)
Article
Environmental Sciences
Kornelia Anna Wojcik et al.
Review
Green & Sustainable Science & Technology
Lazaro J. Mangewa et al.
Review
Energy & Fuels
Mohamed Nadir Boukoberine et al.
Article
Robotics
Su Yeon Choi et al.
Article
Remote Sensing
Muhammad Asghar Khan et al.
Review
Remote Sensing
Mitch Campion et al.
JOURNAL OF UNMANNED VEHICLE SYSTEMS
(2019)
Article
Computer Science, Information Systems
Rong-Jong Wai et al.
Proceedings Paper
Automation & Control Systems
Tristan Dardoize et al.
2019 INTERNATIONAL WORKSHOP ON RESEARCH, EDUCATION AND DEVELOPMENT OF UNMANNED AERIAL SYSTEMS (RED UAS 2019)
(2019)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Asharul Islam Khan et al.
10TH INT CONF ON EMERGING UBIQUITOUS SYST AND PERVAS NETWORKS (EUSPN-2019) / THE 9TH INT CONF ON CURRENT AND FUTURE TRENDS OF INFORMAT AND COMMUN TECHNOLOGIES IN HEALTHCARE (ICTH-2019) / AFFILIATED WORKOPS
(2019)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Zhirui Jiang et al.
2019 18TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES 2019)
(2019)
Article
Computer Science, Information Systems
Dante Tezza et al.
Review
Energy & Fuels
He Ren et al.
INTERNATIONAL JOURNAL OF COAL SCIENCE & TECHNOLOGY
(2019)
Article
Computer Science, Information Systems
Anis Koubaa et al.
Article
Robotics
Davide Falanga et al.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2019)
Article
Computer Science, Information Systems
Chaoxing Yan et al.
Article
Computer Science, Information Systems
Hazim Shakhatreh et al.
Article
Computer Science, Information Systems
Bilal Taha et al.
Article
Computer Science, Hardware & Architecture
Emad Ebeid et al.
MICROPROCESSORS AND MICROSYSTEMS
(2018)
Article
Chemistry, Analytical
Cristian Ramirez-Atencia et al.
Article
Computer Science, Information Systems
Huan Cong Nguyen et al.
Article
Computer Science, Information Systems
Jose J. Castillo-Zamora et al.
Article
Thermodynamics
Xiangwei Bu et al.
ADVANCES IN MECHANICAL ENGINEERING
(2018)
Article
Environmental Sciences
Anna Zmarz et al.
REMOTE SENSING OF ENVIRONMENT
(2018)
Article
Automation & Control Systems
Mina Kamel et al.
IEEE ROBOTICS & AUTOMATION MAGAZINE
(2018)
Article
Remote Sensing
Mohammad Jafari et al.
Article
Computer Science, Information Systems
Antonio Fernando Alves Carneiro et al.
Article
Computer Science, Information Systems
Jianwei Zhao et al.
Article
Remote Sensing
Luis Padua et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2017)
Article
Robotics
Sujit Rajappa et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
(2017)
Article
Engineering, Civil
M. A. Santos et al.
JOURNAL OF ADVANCED TRANSPORTATION
(2017)
Review
Engineering, Aerospace
M. Hassanalian et al.
PROGRESS IN AEROSPACE SCIENCES
(2017)
Article
Engineering, Aerospace
Xiangwei Bu et al.
AEROSPACE SCIENCE AND TECHNOLOGY
(2017)
Article
Computer Science, Artificial Intelligence
Patricio J. Cruz et al.
Article
Imaging Science & Photographic Technology
Matija Radovic et al.
JOURNAL OF IMAGING
(2017)
Proceedings Paper
Mathematics, Applied
V. F. Nguen et al.
ICNPAA 2016 WORLD CONGRESS: 11TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES
(2017)
Review
Engineering, Aerospace
Liu Zhong et al.
CHINESE JOURNAL OF AERONAUTICS
(2017)
Article
Automation & Control Systems
Andrzej Bartoszewicz et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2016)
Review
Environmental Sciences
Sophie Crommelinck et al.
Review
Automation & Control Systems
Roohul Amin et al.
INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL
(2016)
Article
Engineering, Aerospace
Nelson Javier Pedraza Betancourth et al.
JOURNAL OF AEROSPACE TECHNOLOGY AND MANAGEMENT
(2016)
Article
Automation & Control Systems
Haitao Song et al.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2015)
Proceedings Paper
Computer Science, Information Systems
Sai Ram Ganti et al.
2015 12TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY - NEW GENERATIONS
(2015)
Article
Automation & Control Systems
En-Hui Zheng et al.
Article
Engineering, Multidisciplinary
Anil Kumar Yadav et al.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2014)
Article
Engineering, Aerospace
Amin Moosavian et al.
JOURNAL OF AIRCRAFT
(2013)
Article
Computer Science, Artificial Intelligence
Sefer Kurnaz et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2010)
Article
Automation & Control Systems
HaiYang Chao et al.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2010)
Article
Engineering, Aerospace
Ohad Gur et al.
JOURNAL OF AIRCRAFT
(2009)
Article
Automation & Control Systems
A. Benallegue et al.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2008)
Review
Automation & Control Systems
Hoon Lee et al.
ANNUAL REVIEWS IN CONTROL
(2007)
Article
Automation & Control Systems
G Vachtsevanos et al.
ANNUAL REVIEWS IN CONTROL
(2005)
Article
Automation & Control Systems
WJ Rugh et al.
