Cooperative Localization of Multi-UAVs via Dynamic Nonparametric Belief Propagation under GPS Signal Loss Condition by Jiuqing Wan, Liping Zhong, Fan Zhang

“…Self-localization is critical for many unmanned aerial vehicles (UAVs) tasks such as formation flight, path planning, and activity coordination. …”
Get full text

Position Control Using Trajectory Tracking and State Estimation of a Quad-rotor by Onur Sarıpınar, Muharrem Mercimek

“…Quad-rotor aircrafts are unmanned aerial vehicles that have gained significant popularity in recent years and have been developed for use in many areas. …”
Get full text

Path Optimization of Mobile Sink Node in Wireless Sensor Network Water Monitoring System by Fan Chao, Zhiqin He, Aiping Pang, Hongbo Zhou, Junjie Ge

“…Based on the high maneuverability of unmanned aerial vehicles (UAVs), a mobile data collection scheme is proposed, which uses UAV as a mobile sink node in WSN water monitoring and transmits data wirelessly to collect monitoring node data efficiently and flexibly. …”
Get full text

Mechanical Properties of Hemp Fiber-Reinforced Polypropylene Composites for Drone Propeller Guard Application by Witawat Singsang, Thanasak Khamsin, Chayapol Prachumchon, Anurak Rodbumrung, Benjamas Netiworaruksa, Natkrita Prasoetsopha, Ing-orn Sittitanadol

“…A propeller guard is an instrument that helps to avoid Unmanned Aerial Vehicles (UAVs) or drone damage. Commercially, they are made from an engineering plastic such as Acrylonitrile Butadiene Styrene (ABS). …”
Get full text

Human-Centered UAV–MAV Teaming in Adversarial Scenarios via Target-Aware Intention Prediction and Reinforcement Learning by Wei Hao, Huaping Liu, Jia Liu, Wenjie Li, Lijun Chen

“…This ability is crucial for effective teamwork in complex situations that involve both manned and unmanned aerial vehicles (UAVs). Existing collaborative tasks between manned and unmanned aircraft focus mainly on optimizing communication and the UAVs’ flight paths but neglect the benefits of tacit and intelligent operational cooperation with pilots. …”
Get full text

A cascading decision system for enhanced anomaly classification of large-scale photovoltaic systems using Drone's thermal data with class-imbalance problem by Zoubir Barraz, Imane Sebari, Nassim Lamrini, Kenza Ait El Kadi, Ibtihal Ait Abdelmoula

“…The increasing use of Unmanned Aerial Vehicles (UAVs) for thermal imaging in the inspection of large-scale photovoltaic (PV) installations underscores the challenge of detecting anomalies within imbalanced image datasets, where normal instances significantly outnumber anomalies. …”
Get full text

Development of an experimental setup for propeller performance measurements by Pugna Andreea, Hrab Călin, Hînsa Liviu-Nicolae, Hopârtean Andrei, Giurgea Corina-Maria, Marcu Lucian

“…With the increasing demand for efficient and adaptable unmanned aerial vehicles (UAVs), optimizing propeller performance has become essential to enhancing energy efficiency and thrust. …”
Get full text

Variation in Anti-icing Power of Superhydrophobic Electrothermal Film under Different Temperatures and Wind Speeds by Shijie Xue, Yihua Liu, Yu Wang, Bing Xiao, Xiaoxin Shi, Jingchun Yao, Xianglian Lv, Weizheng Yuan, Yang He

“…Anti-icing with low-energy consumption has important research value for unmanned aerial vehicles. In this study, a superhydrophobic electrothermal film for anti-icing applications was designed and prepared, and power consumption experiments were conducted at different temperatures and wind speeds in an icing wind tunnel. …”
Get full text

Utilizing the Finite Fourier Series to Generate Quadrotor Trajectories Through Multiple Waypoints by Yevhenii Kovryzhenko, Ehsan Taheri

“…Motion planning is critical for ensuring precise and efficient operations of unmanned aerial vehicles (UAVs). While polynomial parameterization has been the prevailing approach, its limitations in handling complex trajectory requirements have motivated the exploration of alternative methods. …”
Get full text

Adaptive sensing scheme using naive Bayes classification for environment monitoring with drone by Yao-Hua Ho, Yu-Te Huang, Hao-Hua Chu, Ling-Jyh Chen

“…To collect data from those sensors, unmanned aerial vehicles are used to act as data mules to overcome the problem of collecting data in challenging environments. …”
Get full text

Bio-Inspired Algorithms for Efficient Clustering and Routing in Flying Ad Hoc Networks by Juhi Agrawal, Muhammad Yeasir Arafat

“…The high mobility and dynamic nature of unmanned aerial vehicles (UAVs) pose significant challenges to clustering and routing in flying ad hoc networks (FANETs). …”
Get full text

The system of control chemical and radioactive pollution of marine environment parameters in the location areas of potentially hazardous underwater objects by A.I. Vyalyshev, F.K. Tuzov, V.V. Stoyanov, A.A. Dolgov, D.V. Poltoranov

“…Taking into account the experience of foreign developments, the possibility of using unmanned aerial vehicles as a means of delivering radiosonobuoys and data, collected by the system, is justified. …”
Get full text

Research on Information Fusion of Computer Vision and Radar Signals in UAV Target Identification by Yuan Wei, Tao Hong, Chaoqun Fang

“…The small size, sluggish flying speed, low flight altitude, and low electromagnetic intensity of unmanned aerial vehicles (UAVs) have put enormous strain on air traffic management and airspace security. …”
Get full text

Rare plants detection using a YOLOv3 neural network by L.A. Gorodetskaya, A.Y. Denisova, L.M. Kavelenova, V.A. Fedoseev

“…To reduce the human impact on the natural habitat of plants and simplify the monitoring process, we propose the use of automatic analysis of unmanned aerial vehicles (UAVs) data using the Yolov3 neural network. …”
Get full text

Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities by Jose Amendola, Linga Reddy Cenkeramaddi, Ajit Jha

“…Unmanned aerial vehicles, and special multirotor drones, have shown great relevance in a plethora of missions that require high affordance, field of view, and precision. …”
Get full text

SINDy and PD-Based UAV Dynamics Identification for MPC by Bryan S. Guevara, José Varela-Aldás, Daniel C. Gandolfo, Juan M. Toibero

“…This study proposes a comprehensive framework for the identification of nonlinear dynamics in Unmanned Aerial Vehicles (UAVs), integrating data-driven methodologies with theoretical modeling approaches. …”
Get full text

UAV Path Planning Based on Improved A∗ and DWA Algorithms by Xiong Bai, Haikun Jiang, Junjie Cui, Kuan Lu, Pengyun Chen, Ming Zhang

“…This work proposes a path planning algorithm based on A∗ and DWA to achieve global path optimization while satisfying security and speed requirements for unmanned aerial vehicles (UAV). The algorithm first preprocesses the map for irregular obstacles encountered by a UAV in flight, including grid preprocessing for arc-shaped obstacles and convex preprocessing for concave obstacles. …”
Get full text

Tracking controller design for quadrotor UAVs under external disturbances using a high-order sliding mode-assisted disturbance observer by Zheng Sun, Min Xiao, Di Li, Jia Chu

“…Quadrotor unmanned aerial vehicles (UAVs) operating in agricultural fields for aerial photography are susceptible to external disturbances. …”
Get full text

Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning by Vitou That, Kimchheang Chhea, Jung-Ryun Lee

“…With the increasing computational demands of Internet of Things (IoT) applications, air-ground integrated networks (AGIN), leveraging the capabilities of Unmanned Aerial Vehicles (UAVs) and High-Altitude Platform (HAP), provides an essential solution to these challenges. …”
Get full text

UAV service enhancement mechanism deep deterministic policy gradient for scalable video coding transmission by Junjie YAN, Yaxin ZHU, Yanru FENG, Hanyong LIU, Junyi DENG, Huan WANG

“…Unmanned aerial vehicles (UAV) are an important component of future air-space-ground integrated network due to their onboard storage, communication, and computing capabilities.However, existing research on UAV-assisted edge networks often focuses more on the network perspective and lacks consideration of user perspectives and their requirements.Therefore, a UAV service enhancement mechanism based on deep deterministic policy gradient (DDPG) for scalable video coding (SVC) transmission was proposed from the user’s perspective.Firstly, an elastic video transmission method based on SVC was proposed in conjunction with UAV to improve differentiated user experiences.Secondly, a UAV trajectory planning design based on the DDPG algorithm was proposed to maximize the number of users receiving enhanced layer videos and ensure effective coverage enhancement by UAV in hotspot areas.Simulation results show that compared with both the deep Q network (DQN) algorithm and shortest path (SP) algorithm under different user distributions, the proposed algorithm can increase the average number of enhanced layers received by 47.9% and 76.4%, respectively.This study successfully achieves improved coverage in hotspot areas while also providing differentiated user experiences through its proposed methods.…”
Get full text