Robust Position Control of VTOL UAVs Using a Linear Quadratic Rate-Varying Integral Tracker: Design and Validation by Omer Saleem, Muhammad Kazim, Jamshed Iqbal

“…This article presents an optimal tracking controller retrofitted with a nonlinear adaptive integral compensator, specifically designed to ensure robust and accurate positioning of Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicles (UAVs) that utilize contra-rotating motorized propellers for differential thrust generation. …”
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Coastal Inlet Analysis by Image Color Intensity Variations: Implications for the Barrier Coast of Ukraine by Ilya V. Buynevich, Oleksiy V. Davydov, Duncan M. FitzGerald

“…Increasingly, remote sensing technologies (aerial and satellite imagery, small unmanned aerial vehicles, etc.) are employed as sources of high-definition spatial databases. …”
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Transmission line trip faults under extreme snow and ice conditions: a case study by Guojun Zhang

“…Moreover, the integration of unmanned aerial vehicles (UAVs) and artificial intelligence (AI)-based fault detection tools presents promising opportunities for improving remote monitoring capabilities and enabling proactive maintenance interventions. …”
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A Prediction Method of Electromagnetic Environment Effects for UAV LiDAR Detection System by Min Huang, Dandan Liu, Liyun Ma, Jingyang Wang, Yuming Wang, Yazhou Chen

“…With the rapid development of science and technology, UAVs (Unmanned Aerial Vehicles) have become a new type of weapon in the informatization battlefield by their advantages of low loss and zero casualty rate. …”
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Crane Lifting Optimization and Construction Monitoring in Steel Bridge Construction Project Based on BIM and UAV by Jiahao Tian, Sang Luo, Xinming Wang, Jing Hu, Jun Yin

“…Based on an overpass steel bridge construction project, this paper attempted to integrate the BIM and unmanned aerial vehicles (UAVs) to streamline lifting operation planning and construction monitoring. …”
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Technological Evolution of Architecture, Engineering, Construction, and Structural Health Monitoring of Bridges in Peru: History, Challenges, and Opportunities by Carlos Cacciuttolo, Esteban Muñoz, Andrés Sotil

“…Finally, it is concluded that the integration of technologies of sensors, the IoT (Internet of Things), AI (artificial intelligence), UAVs (Unmanned Aerial Vehicles), remote sensing, BIM (Building Information Modeling), and DfMA (Design for Manufacturing and Assembly), among others, will allow for more safe, reliable, durable, productive, cost-effective, sustainable, and resilient bridge infrastructures in Peru in the face of climate change.…”
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Comprehensive and Validated Computational Investigations of Structural Integrity, Aerodynamic Behavior, and Its Turbulence Characteristics on Agricultural Drone with and without Pa... by Beena Stanislaus Arputharaj, Shyam Sundar Jayakumar, Senthil Kumar Solaiappan, Vijayanandh Raja, Parvathy Rajendran, Maheswari Krishnamoorthy, Hari Prasath Jeyaraj, Senthil Kumar Madasamy, Ragavendra Thaiyan Rajendran, Ali Mahmood Ahmed

“…In recent years, multirotor unmanned aerial vehicles (MRUAVs) have seen increased investment and deployment for various novel uses, including intruder surveillance, agro farming, and crack detection in severe environments. …”
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LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery by Van Quang Nghiem, Huy Hoang Nguyen, Minh Son Hoang

“…Advances in Unmanned Aerial Vehicles (UAVs) and deep learning have spotlighted the challenges of detecting small objects in UAV imagery, where limited computational resources complicate deployment on edge devices. …”
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Collision Avoidance in Circular Motion of a Fixed-Wing Drone Formation Based on Rotational Modification of Artificial Potential Field by Tagir Muslimov

“…In coordinated circular motion of a group of autonomous unmanned aerial vehicles (UAVs or drones), it is important to ensure that collisions between them are avoided. …”
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Deep Reinforcement Learning Assisted UAV Path Planning Relying on Cumulative Reward Mode and Region Segmentation by Zhipeng Wang, Soon Xin Ng, Mohammed EI-Hajjar

“…In recent years, unmanned aerial vehicles (UAVs) have been considered for many applications, such as disaster prevention and control, logistics and transportation, and wireless communication. …”
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An approach for accurate identification and monitoring of species in mangrove forests based on multi-source spectral data and deep learning by Monterrubio-Martínez Erandi, Trujillo-Acatitla Rubicel, Tuxpan-Vargas José, Moreno-Casasola Patricia

“…First, the integration of photogrammetric analysis from unmanned aerial vehicles (UAVs) enables the precise determination of the spatial distribution of mangrove forests. …”
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YOLOv8s-Longan: a lightweight detection method for the longan fruit-picking UAV by Jun Li, Jun Li, Jun Li, Kaixuan Wu, Meiqi Zhang, Hengxu Chen, Hengyi Lin, Yuju Mai, Linlin Shi

“…IntroductionDue to the limited computing power and fast flight speed of the picking of unmanned aerial vehicles (UAVs), it is important to design a quick and accurate detecting algorithm to obtain the fruit position.MethodsThis paper proposes a lightweight deep learning algorithm, named YOLOv8s-Longan, to improve the detection accuracy and reduce the number of model parameters for fruitpicking UAVs. …”
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Large Language Models for UAVs: Current State and Pathways to the Future by Shumaila Javaid, Hamza Fahim, Bin He, Nasir Saeed

“…Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across diverse sectors, offering adaptable solutions to complex challenges in both military and civilian domains. …”
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Ultralight aircraft and conventional digital cameras as an alternative for urban mapping by Román Edén Parra-Galaviz, Manuel de Jesús Pérez-Valdez, Omar Llanes-Cárdenas, Lennin Enrique Amador-Castro, Rafael Macías-Segura, Ciro de la Concepción Díaz-Hernández, Alberto Gaxiola

“…Mapping plays a crucial role in urban planning by assisting authorities in making informed decisions regarding city growth and infrastructure placement. Unmanned Aerial Vehicles (UAVs) are employed extensively for this purpose, owing to their ease of operation and advanced georeferencing capabilities facilitated by integrated cameras coupled with Global Navigation Satellite System (GNSS) devices. …”
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RETRACTED: An Infrared Small Target Detection Method Based on a Weighted Human Visual Comparison Mechanism for Safety Monitoring by Yuanyuan Chen, Huiqian Wang, Yu Pang, Jinhui Han, En Mou, Enling Cao

“…However, accurate infrared detection of small targets in real-time is challenging due to their small size and similarity in gray level and texture with the surrounding environment, as well as interference from the infrared imaging systems in unmanned aerial vehicles (UAVs). This article proposes a weighted local contrast method based on the contrast mechanism of the human visual system. …”
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PSiamRML: Target Recognition and Matching Integrated Localization Algorithm Based on Pseudo-Siamese Network by Jiwei Fan, Xiaogang Yang, Ruitao Lu, Xueli Xie, Siyu Wang

“…The positioning function of unmanned aerial vehicles (UAVs) is a challenging and fundamental research topic and is the premise for UAVs to realize autonomous navigation. …”
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Trusted fuzzy routing scheme in flying ad-hoc network by Sahabul Alam, Joydeep Kundu, Shivnath Ghosh, Arindam Dey

“…Unmanned Aerial Vehicles (UAVs) bring both potential and difficulties for emergency applications, including packet loss and changes in network topology. …”
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Applications of unmanned vehicle systems for multi-spatial scale monitoring and management of aquatic ecosystems: A review by Xingzhen Liu, Long Ho, Stijn Bruneel, Peter Goethals

“…Our findings reveal a 12-fold increase in UVS applications in aquatic research during this period, with 60–70 % focusing on habitat monitoring and animal behavior research, and less than 10 % addressing algal blooms and eutrophication. Unmanned Aerial Vehicles (UAV), representing 70 % of the published applications, have been the primary research instrument, outpacing Unmanned Surface Vehicles (USV) and Autonomous Underwater Vehicles/Remotely Operated Vehicles (AUV/ROV). …”
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A Deep-Learning Approach to a Volumetric Radio Environment Map Construction for UAV-Assisted Networks by Bethelhem S. Shawel, Dereje H. Woldegebreal, Sofie Pollin

“…This can be achieved by integrating airborne networks, such as unmanned aerial vehicles (UAVs) and satellite networks, with terrestrial networks. …”
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Pursuit on the plane by objects moving away from the trajectory of defending object, with simulation of detection area by A. А. Dubanov, T. V. Ausheev

“…The results of the research can be in demand in the design of unmanned aerial vehicles with elements of autonomous control and artificial intelligence.…”
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