Abstract
Background: Unmanned Aerial Vehicle (UAV) technology has exploded in recent years. Presently UAVs are beginning to be major in roads into geographical mapping, site inspection, agriculture, and search and rescue.
Methods: This paper reviewed patents and papers worldwide related to both hardware and software for the construction and deployment of UAVs and is intended to provide a snapshot of currently available UAV technologies, as well as to identify recent trends and future opportunities in affiliated hardware and software.
Results: Basic components related to self-designed units are explained (e.g. platform selection, autopilot control comparison and sensor selection), and current applications and research areas are discussed. Since autonomous navigation is a key technology in UAV applications, concepts about this are also explained.
Conclusions: Both in the self-designed and commercial markets, UAV components are becoming modularized. By following a standard components list, it is no longer difficult to make a customised UAV. In this way, commercial products are becoming cheaper and more standardized in their performance. Current limitations of UAVs has also become more readily detectible. Extending the flight time, improving autonomous navigation abilities, and enriching the payload capacity will be the future research focus to address these limitations.
Keywords: Unmanned aerial vehicles, drone, multi-rotor, navigation, remote piloted airborne systems, payload capacity.
Graphical Abstract
Call for Papers in Thematic Issues
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Computational fluid dynamics (CFD) and Intelligent computing are very emerging technology in various industrial applications. Multiphase flow problems are very dominant in hydro as well as power plants, mining, marine, cementing, food processing, and ore-processing industries. Multiphase flows include gas-solid as well as liquid-solid flows. The solid like ores, ash, ...read more
Advanced materials for energy production, transmission, and utilization
Hydrogen storage and production materials: Developing high-performance hydrogen generation and storage materials, as well as researching the mechanism of hydrogen-material interaction. The emphasis for supercapacitors is on carbon-based materials derived from various biomass carbonization methods, as well as carbon-containing electrode materials such as metal sulfide, oxides, and other similar compounds. ...read more
Advancements in Machine Learning for Medical Applications in Material Science
The fusion of machine learning with medical applications and material science has ushered in a new era of innovation, offering transformative solutions to complex healthcare challenges. "Advancements in Machine Learning for Medical Applications in Material Science," a special issue, serves as a crucible for exploring the remarkable synergy between these ...read more
Computational Methods in Engineering
In recent decades, computational methods have revolutionized the field of engineering, playing a pivotal role in enhancing efficiency, accuracy, and innovation across various disciplines. This proposed thematic issue aims to explore and showcase the latest advancements, challenges, and applications of computational methods in engineering. As technology continues to evolve, computational ...read more
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