Article
Biodiversity Conservation
Joshua P. P. Wilson, Tatsuya Amano, Richard A. A. Fuller
Summary: The increase in drone use has led to a need for regulations on flights near vulnerable wildlife, but a lack of data on drone-induced wildlife disturbance has hindered these efforts. This study characterizes the disturbance caused by drones among mixed-species shorebird flocks to provide guidance for drone management near shorebirds. The researchers conducted drone approaches on roosting non-breeding shorebirds in Moreton Bay, Australia and found that the flight initiation distance varies depending on the species and certain factors such as drone noise, approach velocity, and distance. The researchers recommend careful regulation of drone use, evaluation of disturbance risk in drone surveys, and seeking alternatives in the absence of disturbance data.
JOURNAL OF APPLIED ECOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Joshua Trethowan, Zihao Wang, K. C. Wong
Summary: This study presents a novel bird deterrence solution using tethered UAVs arranged in a grid-like fashion. The simulation model evaluates the feasibility of different UAV arrangements and strategies against bird behavior, and introduces a bird energy expenditure model to quantify persistence and effort. The results indicate that a centralized multi-UAV control strategy can successfully deter both single and multiple bird flocks. Overall, this study proposes a viable and novel solution for bird deterrence in agriculture using tethered UAV platforms.
Article
Remote Sensing
Khalifa AL-Dosari, Ziad Hunaiti, Wamadeva Balachandran
Summary: This study developed a framework to address the challenges of drone deployment in Qatar, aiming to enable successful, safe, accountable and sustainable development of drone applications. The framework was evaluated by key stakeholders and ready to be implemented with minor amendments. It could also be helpful for other countries in the region to facilitate drone deployment.
Article
Environmental Sciences
Brenon Diennevam Souza Barbosa, Gabriel Araujo e Silva Ferraz, Luana Mendes dos Santos, Lucas Santos Santana, Diego Bedin Marin, Giuseppe Rossi, Leonardo Conti
Summary: This study evaluated the potential of using UAVs and RGB vegetation indices in monitoring coffee crops, finding that MPRI and GLI showed some correlation with LAI, but the correlation was weak. Additionally, the use of these indices can help managers make timely crop management decisions and save resources.
Review
Remote Sensing
Gopi Gugan, Anwar Haque
Summary: Unmanned aerial vehicles (UAV) or drones have become increasingly popular in the past decade. The use of autonomous drones is seen as a viable and cost-effective solution in many applications. Path planning is crucial for autonomous control systems, as drones need to compute efficient paths to avoid collisions. This study reviews environmental representation and path generation techniques, analyzes common path planning techniques, and identifies future research directions based on highly cited publications.
Article
Remote Sensing
Jeremy P. Orange, Ronald R. Bielefeld, William A. Cox, Andrea L. Sylvia
Summary: This study evaluated the effects of drones on non-target species and proposed protocols for Florida mottled duck surveys. The results indicated that drone flights had minimal disturbance on marsh birds, but detection abilities were limited at higher altitudes and species identification difficulties were encountered in videos collected at 30 m. The findings suggest that MODU surveys can be conducted at altitudes as low as 12-30 m with minimal impact on adjacent marsh birds and larger-bodied non-target species can be identified from videos collected during MODU drone surveys.
Article
Remote Sensing
Shanique Grant, Jeff Perine, Farah Abi-Akar, Timothy Lane, Brenna Kent, Christopher Mohler, Chris Scott, Amy Ritter
Summary: This study investigated the impact of wind speeds, initial payload volumes, and nozzle droplet size characteristics on drift during spray applications from a hovering UAV. The results showed that increasing wind speed led to a noticeable shift in the sprayed droplets' trajectory. Downwind of the UAV, wind speed had the greatest overall impact on deposition, followed by nozzle/droplet size. Faster wind speeds, finer droplet sizes, and heavier initial payloads were associated with increased drift.
Article
Agriculture, Multidisciplinary
Shincheol Lee, Ji Sun Shin
Summary: In smart farming, technologies like IoT are improving efficiency while introducing security challenges. The proposed LV protocol and blockchain-based drone rental mechanism provide secure solutions, validated through security analysis and performance evaluation.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Telecommunications
Samhith Reddy Chinthi-Reddy, Sunho Lim, Gyu Sang Choi, Jinseok Chae, Cong Pu
Summary: This paper discusses how to protect the privacy of drones and prevent adversaries from accessing sensitive information. The authors propose three privacy-preserving target tracking strategies and validate their effectiveness through experiments.
VEHICULAR COMMUNICATIONS
(2022)
Article
Environmental Sciences
Stephen John McTegg, Fayez Tarsha Kurdi, Shane Simmons, Zahra Gharineiat
Summary: Recent public discourse on the usage and regulation of unmanned aerial vehicles (UAVs) has focused on concerns regarding public privacy and safety. Although most authorities have implemented guidelines and licensing procedures for piloting UAVs, there is a lack of consensus among regulators and a limited view towards unified procedures. This paper analyzes the key challenges affecting UAV use and evaluates whether current rules adequately address these challenges. The findings reveal shortcomings in the majority of regulations and confirm that key issues remain unaddressed. Recommendations are provided to address these gaps in the regulations.
Review
Remote Sensing
Chommaphat Malang, Phasit Charoenkwan, Ratapol Wudhikarn
Summary: Unmanned aerial vehicles (UAVs) are crucial for warehouse operations, improving efficiency and automation. However, there is a lack of review studies on UAV-based warehouse management, limiting research and practical decision-making. This study provides a systematic literature review on UAV adoption in warehouse management, identifying key factors and discussing managerial implications.
Article
Engineering, Electrical & Electronic
Quan Chen, Hai Zhu, Lei Yang, Xiaoqian Chen, Sofie Pollin, Evgenii Vinogradov
Summary: This article explores the synergies between vision and communications for edge-computing-enabled UAV flight, proposing a framework of edge computing assisted autonomous flight that utilizes three functionalities to enhance connectivity and mission performance. Simulation results demonstrate the effectiveness of the method in improving mission performance through enhanced connectivity.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Information Systems
Marzena Miesikowska
Summary: This study performed discriminant analysis of voice commands in the presence of an unmanned aerial vehicle equipped with four rotating propellers, achieving a promising classification accuracy of 76.2% for male speakers based on mel-frequency cepstral coefficients. It was found that the presence of the unmanned aerial vehicle did not hinder verbal communication with male speakers during recordings, with speech intelligibility remaining at acceptable levels.
Article
Environmental Sciences
Gabriella Santos Arruda de Lima, Manuel Eduardo Ferreira, Beata Emoke Madari, Marcia Thais de Melo Carvalho
Summary: This study estimated biomass and carbon stock in an integrated crop-livestock system using multispectral aerial imaging with a fixed-wing UAV. The results showed a strong correlation between vegetation indices using the near-infrared band and biomass. Regression models were able to predict biomass and carbon stock, and maps were created to visualize the distribution of biomass in different phases.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
(2022)
Article
Multidisciplinary Sciences
Emmanuel Captain Vellemu, Vincent Katonda, Harold Yapuwa, Gomezyani Msuku, Saulosi Nkhoma, Chandiwira Makwakwa, Kingston Safuya, Alfred Maluwa
Summary: This study assessed the capability of the DJI Mavic 2 Pro drone in collecting and delivering river water samples for water quality assessments, highlighting its superiority in generating large and reliable data sets compared to traditional methods. However, further investigations are needed to explore the impact of pilot efficiency and flight disturbances on data reliability. Future tests should focus on evaluating the drone's performance and data reliability over a long river course in various ecological conditions.
SCIENTIFIC AFRICAN
(2021)
Article
Computer Science, Information Systems
Ivan Lanese, Ulrik P. Schultz, Irek Ulidowski
Summary: This article provides an overview of reversible computation and its applications in various fields of computer science. It specifically focuses on the use of reversible computation in reversible debugging of concurrent programs written in the Erlang programming language.
Article
Neurosciences
Vatsanai Jaiton, Kongkiat Rothomphiwat, Emad Ebeid, Poramate Manoonpong
Summary: This research aims to develop an efficient control system for UAVs by enabling them to adjust control parameters through fast online learning, thus achieving functions like speed adaptation and obstacle avoidance. The neural control technique allows UAVs to quickly learn with only a few trials for safety adjustments during flight.
FRONTIERS IN NEURAL CIRCUITS
(2022)
Article
Computer Science, Hardware & Architecture
Oscar Bowen Schofield, Nicolai Iversen, Emad Ebeid
Summary: With the aging of overhead power transmission infrastructure worldwide, drones have become a promising solution for efficient and cost-effective large-scale inspection operations. This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure.
MICROPROCESSORS AND MICROSYSTEMS
(2022)
Article
Computer Science, Software Engineering
Marco Kuhrmann, Paolo Tell, Regina Hebig, Jil Kluender, Juergen Muench, Oliver Linssen, Dietmar Pfahl, Michael Felderer, Christian R. Prause, Stephen G. MacDonell, Joyce Nakatumba-Nabende, David Raffo, Sarah Beecham, Eray Tuzun, Gustavo Lopez, Nicolas Paez, Diego Fontdevila, Sherlock A. Licorish, Steffen Kuepper, Guenther Ruhe, Eric Knauss, Ozden Ozcan-Top, Paul Clarke, Fergal McCaffery, Marcela Genero, Aurora Vizcaino, Mario Piattini, Marcos Kalinowski, Tayana Conte, Rafael Prikladnicki, Stephan Krusche, Ahmet Coskuncay, Ezequiel Scott, Fabio Calefato, Svetlana Pimonova, Rolf-Helge Pfeiffer, Ulrik Pagh Schultz, Rogardt Heldal, Masud Fazal-Baqaie, Craig Anslow, Maleknaz Nayebi, Kurt Schneider, Stefan Sauer, Dietmar Winkler, Stefan Biffl, Maria Cecilia Bastarrica, Ita Richardson
Summary: This article investigates what makes a software development method agile. Through a large-scale international survey and data analysis, the findings suggest that although only a small number of participants operate their projects in a purely traditional or agile manner, most project disciplines and practices show a trend towards increasing degrees of agility. It is concluded that agility cannot be solely defined at the process level and additional factors need to be taken into account when implementing or improving agility in a software company.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Rune Hylsberg Jacobsen, Lea Matlekovic, Liping Shi, Nicolaj Malle, Naeem Ayoub, Kaspar Hageman, Simon Hansen, Frederik Falk Nyboe, Emad Ebeid
Summary: Inspection of critical infrastructure with drones is increasing in the industry due to the demand for cost, time, and risk reduction. Early deployments involve manual drone operations and lack technological benefits. This study focuses on designing a complex Unmanned Aerial System (UAS) to support autonomous inspection and includes simulation and demonstration of key design parts. The research addresses UAS complexity, provides technology component selection, and presents algorithms for autonomous operation and cloud service interaction.
APPLIED SCIENCES-BASEL
(2023)
Proceedings Paper
Engineering, Aerospace
Jes Hundevadt Jepsen, August Ravn Mader, Troels Dupont Andreasen, Radheshyam Singh, Kjeld Jensen
Summary: Unmanned Aerial System (UAS) Traffic Management (UTM) is crucial for unlocking the full potential of UAS technology. Europe is implementing the U-Space framework, the EU version of UTM, and the establishment of U-Spaces in EU countries is soon to become a reality. This paper presents the design of a stand-alone component called DroneID5G, which complies with the Network Identification service specified in the regulatory framework for U-Space. Experimental results demonstrate the performance and reliability of LTE-M network, as well as the implementation of Detect And Avoid (DAA) capabilities for the UAS.
2023 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS, ICUAS
(2023)
Proceedings Paper
Automation & Control Systems
Adam Seewald, Hector Garcia de Marina, Henrik Skov Midtiby, Ulrik Pagh Schultz
Summary: This paper presents an online planning-scheduling approach for battery-powered autonomous aerial robots, which can effectively address possible failures during flight and improve overall fault tolerance.
2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2022)
Article
Computer Science, Information Systems
Nicolaj Haarhoj Malle, Frederik Falk Nyboe, Emad Samuel Malki Ebeid
Summary: This paper presents an advanced embedded system for onboard powerline perception in UAVs. By utilizing state-of-the-art sensor technologies, data processing capabilities, and hardware-software co-design methodology, the system enables safe navigation of UAVs in close proximity to powerlines.
Proceedings Paper
Engineering, Aerospace
Frederik Falk Nyboe, Nicolaj Haarhoj Malle, Emad Ebeid
Summary: This study introduces a new framework called MPSoC4Drones for FPGA design and OS build projects. The framework combines the latest tools and provides an efficient way for construction, and the advantages of FPGA processing in computationally intensive tasks are validated.
2022 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS)
(2022)
Proceedings Paper
Engineering, Aerospace
Martin Skriver, Anders Stengaard, Ulrik Pagh Schultz, Emad Ebeid
Summary: This paper presents an experiment that tests a methodology for measuring interference in communication signals between a flight controller and peripheral devices of a UAV. The study also demonstrates the use of injecting interference signals to simulate the harsh environment in field tests.
2022 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS)
(2022)
Proceedings Paper
Engineering, Aerospace
William Stewart, Dario Floreano, Emad Ebeid
Summary: This paper introduces a fixed-wing UAV that can harvest energy from overhead power lines. The study shows that the UAV can successfully perch on the power line in an outdoor environment and recharge its battery without causing any damage to the power line. The characterization of energy harvesting demonstrates that the device is the lightest energy harvester developed so far.
2022 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS)
(2022)
Proceedings Paper
Engineering, Aerospace
Agus Hasan, Vadim Kramar, Jussi Hermansen, Ulrik Pagh Schultz
Summary: The Arctic region, previously underdeveloped and under-invested, is now gradually opening up for economic activities due to the retreat of Arctic sea ice. The European Union has shown particular interest in the sustainable maritime growth of the European Arctic and has identified Unmanned Aircraft Systems (UAS) as a key enabling technology for various Arctic missions, such as finding shipping routes and conducting climate change studies. This paper discusses the challenges and opportunities related to UAS development in the Arctic, as well as providing insights from practical experience and recommendations for operational risks.
2022 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS)
(2022)
Article
Computer Science, Information Systems
Dario Stuhne, Viet Duong Hoang, Goran Vasiljevic, Stjepan Bogdan, Zdenko Kovacic, Anibal Ollero, Emad Samuel Malki Ebeid
Summary: This paper presents a novel electromechanical recharging station that can be mounted on energized AC power lines to wirelessly charge drones. The recharging station is flexible, lightweight, efficient and can be attached to a robotic arm for use.
Proceedings Paper
Computer Science, Artificial Intelligence
Nicolaj Malle, Emad Ebeid
Summary: The development of Artificial Intelligence using neural networks is growing rapidly in the field of robotics, but there is a lack of deep knowledge on how these networks perform computations. This work introduces an open-source framework for designing and implementing simple neural networks targeted at edge computing platforms, with hardware implementation and evaluation on a Zynq platform.
2022 8TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND ROBOTICS ENGINEERING (ICMRE 2022)
(2022)
