Article
Robotics
Liang Lu, Giancarmine Fasano, Adrian Carrio, Maolin Lei, Hriday Bavle, Pascual Campoy
Summary: Unmanned aerial vehicles (UAVs) have become a powerful tool in various industries, particularly in collision avoidance for micro aerial vehicles (MAVs) during autonomous missions. The complexity of collision avoidance systems depends on the navigation environment, with uncertain obstacles being a key aspect. Non-cooperative collision avoidance strategies are essential when communication is unavailable, such as when dealing with pre-existing obstacles and non-cooperative flying objects. This article reviews non-cooperative collision avoidance for MAVs in dynamic environments, focusing on onboard sensing and obstacle description algorithms. Open challenges and future directions in this field are also discussed.
JOURNAL OF FIELD ROBOTICS
(2023)
Article
Remote Sensing
Anand George, Niko Koivumaeki, Teemu Hakala, Juha Suomalainen, Eija Honkavaara
Summary: This study implemented and assessed a redundant positioning system for high flying altitude drones based on visual-inertial odometry (VIO). The performance of various implementations was studied, and stereo-VIO provided the best results. The stereo baseline of 30 cm was most optimal for flight altitudes of 40-60 m, with a positioning accuracy of 2.186 m for an 800 m-long trajectory. The research results are important for the increasing use of autonomous drones and beyond visual line-of-sight flying.
Review
Environmental Sciences
Maja Kucharczyk, Chris H. Hugenholtz
Summary: The study found biases in current drone-based remote sensing of natural hazard-related disasters and recommended future research to focus on a wider range of disasters and regions.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Luiz Felipe Ramalho de Oliveira, H. Andrew Lassiter, Ben Wilkinson, Travis Whitley, Peter Ifju, Stephen R. Logan, Gary F. Peter, Jason G. Vogel, Timothy A. Martin
Summary: Unmanned aircraft systems (UAS) have rapidly advanced in technology, allowing for low-cost capture of high-resolution images for deriving three-dimensional photogrammetric point clouds. This study evaluates the quality of three-dimensional datasets from two cameras and one lidar sensor collected over a managed pine stand with different planting densities. The results show that the higher-quality camera photogrammetric data is sufficient for individual tree detection and height determination, but lidar data is best overall. The automated tree detection algorithm performed well with lidar data, but slightly fell short in comparison to manual mensuration within the lidar point cloud.
Article
Engineering, Aerospace
Yaoming Zhou, Yu Su, Anhuan Xie, Lingyu Kong
Summary: This paper proposes a bio-inspired path planning algorithm in 3D space that mimics the basic mechanisms of plant growth, allowing UAV to dynamically avoid obstacles in unknown environment maps. It has fast path planning speed, low delay real-time planning effect, and its feasibility is verified in the Gazebo simulator based on the ROS platform.
CHINESE JOURNAL OF AERONAUTICS
(2021)
Article
Environmental Sciences
Deepak Gautam, Bertram Ostendorf, Vinay Pagay
Summary: The use of UAV technology allows for the estimation of seasonal crop coefficients (k(c)) at the single vine level to capture the spatial variability of water requirements in a commercial vineyard. Structural information shows the strongest correlation with k(c), and the random forest model predicts k(c) with the highest accuracy. When combined with an energy balance model, precision irrigation can be achieved on a weekly or sub-weekly basis.
Article
Agriculture, Multidisciplinary
Brayden W. Burns, V. Steven Green, Ahmed A. Hashem, Joseph H. Massey, Aaron M. Shew, M. Arlene A. Adviento-Borbe, Mohamed Milad
Summary: This study aims to determine the precise nitrogen fertilizer requirement for maize by using remote sensing technology to detect nitrogen deficiency and predict grain yield. The results show that specific vegetation indices can effectively detect nitrogen deficiency and predict maize yield.
PRECISION AGRICULTURE
(2022)
Article
Engineering, Civil
Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan
Summary: This article proposes a novel autonomous path planning algorithm APPATT based on a tangent intersection and target guidance strategy. The algorithm can generate high-quality collision-free paths for UAVs in static and uncertain environments, with fast computation speed and adaptability.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Fabiola M. C. de Oliveira, Luiz F. Bittencourt, Reinaldo A. C. Bianchi, Carlos A. Kamienski
Summary: This paper proposes and evaluates an aerial delivery service scenario, as well as three autonomous geometric approaches for collision avoidance. The simulation experiments show that these approaches significantly reduce collisions and are capable of dealing with more drones.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Songyue Yang, Guizhen Yu, Zhijun Meng, Zhangyu Wang, Han Li
Summary: This article investigates obstacle avoidance technology for intelligent unmanned systems, particularly unmanned aerial vehicles (UAVs). Traditional algorithms are ineffective for obstacle avoidance in complex and changing environments with limited UAV sensors, which is addressed using an end-to-end deep reinforcement learning (DRL) algorithm. To overcome slow convergence, a Multi-Branch (MB) network structure is proposed, and to address non-optimal decision-making due to overestimation, the Revise Q-value (RQ) algorithm is introduced. The authors build a V-Rep 3D physical simulation environment tailored to rotor UAVs to test the improved algorithm, demonstrating a 25% increase in average return and accelerated convergence speed.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Article
Energy & Fuels
Saeid Asadzadeh, Wilson Jose de Oliveira, Carlos Roberto de Souza Filho
Summary: The article discusses the use of UAV technology in the petroleum industry for mapping, monitoring, inspection, and surveillance procedures. Drones offer a faster, safer, and more cost-efficient way of data collection in the oil and gas industry.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Review
Plant Sciences
Dedi Yang, Bailey D. Morrison, Kenneth J. Davidson, Julien Lamour, Qianyu Li, Peter R. Nelson, Wouter Hantson, Daniel J. Hayes, Tyson L. Swetnam, Andrew McMahon, Jeremiah Anderson, Kim S. Ely, Alistair Rogers, Shawn P. Serbin
Summary: The Arctic is experiencing faster warming than any other biome, leading to significant changes in vegetation. The use of unmanned aerial systems (UASs) with remote sensing instruments has emerged as a valuable tool to study and monitor these ecosystems, providing detailed observations at fine spatial scales and flexible temporal resolutions.
JOURNAL OF ECOLOGY
(2022)
Article
Engineering, Mechanical
F. Micheli, M. Bersani, S. Arrigoni, F. Braghin, F. Cheli
Summary: This paper presents a trajectory planner for autonomous driving based on a Nonlinear Model Predictive Control (NMPC) algorithm. The proposed algorithm considers Pacejka's nonlinear lateral tyre dynamics and zero speed conditions through a novel slip angle calculation. Road boundaries and obstacles are taken into account with soft and hard constraints implementation. The numerical solution of the NMPC problem is carried out using ACADO toolkit coupled with the quadratic programming solver qpOASES.
VEHICLE SYSTEM DYNAMICS
(2023)
Article
Ecology
Alexander M. Brown, Simon J. Allen, Nat Kelly, Amanda J. Hodgson
Summary: This study presents a method of using UAVs to collect video of dolphins and investigate group size estimation error. The results show a positive correlation between availability and group size, and the existing manual estimation methods have a bias in group size estimation. Through resampling exercises, the study demonstrates that UAVs are an effective and relatively inexpensive method for studying dolphin availability.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2023)
Article
Automation & Control Systems
Pengfei Wang, Sunan Huang, Wai Lun Leong, Zhengtian Ma, Sutthiphong Srigrarom, Rodney Swee Huat Teo
Summary: This paper proposes a sense and avoid control scheme based on a low-cost camera, using deep learning algorithm and velocity obstacle approach to achieve UAV sense and avoid, demonstrating the effectiveness of the solution through flight tests.
Article
Chemistry, Analytical
Aida Vidal-Balea, Oacute Blanco-Novoa, Paula Fraga-Lamas, Tiago M. Fernandez-Carames
Summary: Augmented Reality (AR) technologies are widely used in pediatric healthcare to help children feel comfortable during medical procedures and tests, as well as to motivate them to increase physical activity through AR games. The proposed AR system also provides healthcare professionals with patient data on mobility and mood through a user-friendly web tool.
Article
Chemistry, Analytical
Paula Fraga-Lamas, Sergio Ivan Lopes, Tiago M. Fernandez-Carames
Summary: IoT can pave the way to a circular economy and sustainability, yet its own industry's carbon footprint remains an issue to be tackled for sustainable development.
Article
Ophthalmology
Hugo Pena-Verdeal, Lucia Ramos, Jacobo Garcia-Queiruga, Carlos Garcia-Resua, Maria J. Giraldez, Eva Yebra-Pimentel
Summary: Tear film instability is a key mechanism in dry eye disease. This study aimed to validate a method for automatically measuring tear film breakup time.
OPTOMETRY AND VISION SCIENCE
(2022)
Article
Chemistry, Analytical
Angel Niebla-Montero, Ivan Froiz-Miguez, Paula Fraga-Lamas, Tiago M. Fernandez-Carames
Summary: IoT devices require connectivity to function properly, with wireless communication coverage being crucial; opportunistic networks and edge computing can enhance communication efficiency and speed for IoT devices; a study on Bluetooth 5 IoT nodes showed relatively low latency impacted by various factors.
Editorial Material
Chemistry, Multidisciplinary
Paula Fraga-Lamas, Sergio Ivan Lopes, Tiago M. Fernandez-Carames
APPLIED SCIENCES-BASEL
(2022)
Editorial Material
Chemistry, Multidisciplinary
Paula Fraga-Lamas, Sergio Ivan Lopes, Tiago M. Fernandez-Carames
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Analytical
Paula Fraga-Lamas, Daniel Barros, Sergio Ivan Lopes, Tiago M. Fernandez-Carames
Summary: This article discusses the concepts and design requirements of Cyber-Physical Human-centered Systems (CPHSs) for Industry 5.0, and analyzes the latest developments in CPHSs. It also highlights the challenges in developing CPHSs and presents a real-world use case to illustrate the concepts. The article concludes with specific guidelines for future developers and managers to overcome challenges in deploying the next generation of CPHSs for smart and sustainable manufacturing.
Article
Computer Science, Information Systems
Ivan Froiz-Miguez, Paula Fraga-Lamas, Tiago M. Fernandez-Carames
Summary: This article presents a solution based on Edge Computing and voice commands that carries out offline voice processing and interacts with IoT systems. The system performs local speech inference, providing a communication interface with IoT devices in a Bluetooth mesh without an Internet connection. The proposed solution is demonstrated with the Galician language, achieving a maximum success rate of 92% for detecting commands and sending actions to IoT devices with average response times of up to 113 ms.
Article
Computer Science, Information Systems
Paula Fraga-Lamas, Jose Varela-Barbeito, Tiago M. Fernandez-Carames
Summary: Industry 5.0 aims to revolutionize industrial operations by focusing on research, innovation, sustainability, and the well-being of industrial workers. Auto-ID technologies play a key role in achieving these goals, but face challenges in future Industry 5.0 factories.
Article
Computer Science, Information Systems
I Picallo, A. Vidal-Balea, O. Blanco-Novoa, P. Lopez-Iturri, P. Fraga-Lamas, H. Klaina, T. M. Fernandez-Carames, L. Azpilicueta, F. Falcone
Summary: This study aims to demonstrate the feasibility of enhancing user experience in auditoriums and theatres by using AR devices, particularly improving the autonomy of disabled individuals. By conducting a measurement campaign in a real auditorium, the study evaluated the feasibility of using Wi-Fi enabled AR devices in complex wireless propagation scenarios, and developed a user-friendly application to assist hearing impaired individuals.
