Drones, Vol. 8, Pages 185: Dynamics Event-Triggered-Based Time-Varying Bearing Formation Control for UAVs Drones doi: 10.3390/drones8050185 Authors: Can Ding Zhe Zhang Jing Zhang This article addresses the leader-follower formation maneuver control problem of multiple unmanned aerial vehicles (UAVs), taking into account the time-varying velocity and time-varying relative bearing. An event-triggered bearing-based distributed velocity observer was designed, using only the desired position and velocity of the leaders. Furthermore, a dynamic event-triggered mechanism was introduced to reduce conti ..read more

Drones, Vol. 8, Pages 187: Detection of Leak Areas in Vineyard Irrigation Systems Using UAV-Based Data Drones doi: 10.3390/drones8050187 Authors: Luís Pádua Pedro Marques Lia-Tânia Dinis José Moutinho-Pereira Joaquim J. Sousa Raul Morais Emanuel Peres Water is essential for maintaining plant health and optimal growth in agriculture. While some crops depend on irrigation, others can rely on rainfed water, depending on regional climatic conditions. This is exemplified by grapevines, which have specific water level requirements, and irrigation systems are needed. However, these systems can be sus ..read more

Drones, Vol. 8, Pages 186: MFEFNet: A Multi-Scale Feature Information Extraction and Fusion Network for Multi-Scale Object Detection in UAV Aerial Images Drones doi: 10.3390/drones8050186 Authors: Liming Zhou Shuai Zhao Ziye Wan Yang Liu Yadi Wang Xianyu Zuo Unmanned aerial vehicles (UAVs) are now widely used in many fields. Due to the randomness of UAV flight height and shooting angle, UAV images usually have the following characteristics: many small objects, large changes in object scale, and complex background. Therefore, object detection in UAV aerial images is a very challenging task. To ..read more

Drones, Vol. 8, Pages 183: Intelligent Packet Priority Module for a Network of Unmanned Aerial Vehicles Using Manhattan Long Short-Term Memory Drones doi: 10.3390/drones8050183 Authors: Dino Budi Prakoso Jauzak Hussaini Windiatmaja Agus Mulyanto Riri Fitri Sari Rosdiadee Nordin Unmanned aerial vehicles (UAVs) are becoming more common in wireless communication networks. Using UAVs can lead to network problems. An issue arises when the UAVs function in a network-access-limited environment with nodes causing interference. This issue could potentially hinder UAV network connectivity. This paper in ..read more

Drones, Vol. 8, Pages 184: UAV-Mounted RIS-Aided Mobile Edge Computing System: A DDQN-Based Optimization Approach Drones doi: 10.3390/drones8050184 Authors: Min Wu Shibing Zhu Changqing Li Jiao Zhu Yudi Chen Xiangyu Liu Rui Liu Unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) are increasingly employed in mobile edge computing (MEC) systems to flexibly modify the signal transmission environment. This is achieved through the active manipulation of the wireless channel facilitated by the mobile deployment of UAVs and the intelligent reflection of signals by RISs. How ..read more

Drones, Vol. 8, Pages 181: Fine-Grained Feature Perception for Unmanned Aerial Vehicle Target Detection Algorithm Drones doi: 10.3390/drones8050181 Authors: Shi Liu Meng Zhu Rui Tao Honge Ren Unmanned aerial vehicle (UAV) aerial images often present challenges such as small target sizes, high target density, varied shooting angles, and dynamic poses. Existing target detection algorithms exhibit a noticeable performance decline when confronted with UAV aerial images compared to general scenes. This paper proposes an outstanding small target detection algorithm for UAVs, named Fine-Grained Featu ..read more

Drones, Vol. 8, Pages 182: Vision-Guided Tracking and Emergency Landing for UAVs on Moving Targets Drones doi: 10.3390/drones8050182 Authors: Yisak Debele Ha-Young Shi Assefinew Wondosen Henok Warku Tae-Wan Ku Beom-Soo Kang This paper presents a vision-based adaptive tracking and landing method for multirotor Unmanned Aerial Vehicles (UAVs), designed for safe recovery amid propulsion system failures that reduce maneuverability and responsiveness. The method addresses challenges posed by external disturbances such as wind and agile target movements, specifically, by considering maneuverability ..read more

Drones, Vol. 8, Pages 180: Dual-driven Learning-Based Multiple-Input Multiple-Output Signal Detection Unmanned Aerial Vehicle Air-to-Ground Communications Drones doi: 10.3390/drones8050180 Authors: Haihan Li  Yongming He  Shuntian Zheng  Fan Zhou  Hongwen Yang  Unmanned aerial vehicle (UAV) air-to-ground (AG) communication plays a critical role in the evolving space–air–ground integrated network of the upcoming sixth-generation cellular network (6G). The integration of massive multiple-input multiple-output (MIMO) systems has become essentia ..read more

Drones, Vol. 8, Pages 179: Model-Free RBF Neural Network Intelligent-PID Control Applying Adaptive Robust Term for Quadrotor System Drones doi: 10.3390/drones8050179 Authors: Sung-Jae Kim Jin-Ho Suh This paper proposes a quadrotor system control scheme using an intelligent–proportional–integral–differential control (I-PID)-based controller augmented with a radial basis neural network (RBF neural network) and the proposed adaptive robust term. The I-PID controller, similar to the widely utilized PID controller in quadrotor systems, demonstrates notable ..read more

Drones, Vol. 8, Pages 177: Improving Target Geolocation Accuracy with Multi-View Aerial Images in Long-Range Oblique Photography Drones doi: 10.3390/drones8050177 Authors: Chongyang Liu Yalin Ding Hongwen Zhang Jihong Xiu Haipeng Kuang Target geolocation in long-range oblique photography (LOROP) is a challenging study due to the fact that measurement errors become more evident with increasing shooting distance, significantly affecting the calculation results. This paper introduces a novel high-accuracy target geolocation method based on multi-view observations. Unlike the usual target geolocat ..read more