Unmanned Aerial Vehicles—Platforms, Applications, Security and Services

Calafate, Carlos T.; Tropea, Mauro

doi:10.3390/electronics9060975

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…They allow land surveyors to accomplish more in less time, especially in hazardous or physically hard-to-reach areas, offering centimetre-level accuracy with fewer control points. UAV uses high-resolution imagery with optical sensor data to delineate boundaries, and generate accurate, real-world 3D models from 2D imagery [24].…”

Section: Surveyors In Land Governance: the Power Of Technologymentioning

confidence: 99%

History and Prospects for African Land Governance: Institutions, Technology and ‘Land Rights for All’

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2021

Land

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Issues relating to land are specifically referred to in five of the United Nations’ (UN) 17 Sustainable Development Goals, and UN-Habitat’s Global Land Tools Network views access to land and tenure security as key to achieving sustainable, inclusive and efficient cities. The African continent is growing in importance, with climate change and population pressure on land. This review explores an interdisciplinary approach, and identifies recent advances in geo-spatial technology relevant to land governance in sub-Saharan Africa (SSA). It discusses historical legacies of colonialism that affect the culture of its land administration institutions, through three levels of governance: international/regional, national and sub-national. Short narratives on land law are discussed for four Anglophone former British colonies of SSA. A wide range of sources are drawn upon: academic research across disciplines, and official publications of various actors, including land professions (particularly surveyors, lawyers and planners), government and wider society. The findings are that African countries have carried forward colonial land governance structures into the post-independence political settlement, and that a gulf exists between the institutions, language and cultures of land governance, and the mass of its peoples struggling with basic issues of survival. This gulf may be addressed by recent approaches to land administration and technological advances in geo-spatial technology, and by new knowledge networks and interactions.

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Section: Surveyors In Land Governance: the Power Of Technologymentioning

confidence: 99%

History and Prospects for African Land Governance: Institutions, Technology and ‘Land Rights for All’

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2021

Land

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“…Furthermore, the continued advancements in UAV technology are likely to lead to increased functionality and enhanced applications in Machine Learning and Virtual Reality simulations. 1 UAVs have provided a means for cheap and efficient collection of data. As the nation's airspace has being occupied by an ever increasing diversity of UAVs and tasks, forcing the Federal Aviation Administration (FAA) to continually update policy by collaborating with industry to regulate and integrate UAVs.…”

Section: Introductionmentioning

confidence: 99%

DyViR: dynamic virtual reality dataset for aerial threat object detection

Williams,

Lecakes,

Almon

et al. 2023

Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications

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Unmanned combat aerial vehicles (i.e., drones), are changing the modern geopolitical stage's surveillance, security, and conflict landscape. Various technologies and solutions can help track drones; each technology has different advantages and limitations concerning drone size and detection range. Machine learning (ML) can automatically detect and track drones in real-time while superseding human-level accuracy and providing enhanced situational awareness. Unfortunately, ML's power depends on the data's quality and quantity. In the drone detection task scenario, limited datasets provide limited environmental variation, view angle, view distance, and drone type. We developed a customizable software tool called DyViR that generates large synthetic video datasets for training machine learning algorithms in aerial threat object detection. These datasets contain video and audio renderings of aerial objects within user-specified dynamic simulated biomes (i.e., arctic, desert, and forest). Users can alter the environment on a timeline allowing changes to behaviors such as drone flight patterns and weather conditions across a synthetically generated dataset. DyViR supports additional controls such as motion blur, anti-aliasing, and fully dynamic moving cameras to produce imagery across multiple viewing angles. Each aerial object's classification (drone or airplane) and bounding box data automatically exports to a comma-separated-value (CSV) file and a video to form a synthetic dataset. We demonstrate the value of DyViR by training a real-time YOLOv7-tiny model on these synthetic datasets. The performance of the object detection model improved by 60.4% over its counterpart not using DyViR. This result suggests a use-case of synthetic datasets to surmount the lack of real-world training data for aerial threat object detection.

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“…The authors of [7] pointed out that UAVs can be considered as extensions of Internet of Vehicle (IoV) communication that can offer aerial interfaces for vehicles. All these applications stem from the various salient UAV features, such as low cost and flexible operation [8].…”

Section: Introductionmentioning

confidence: 99%

A Symmetric Key and Elliptic Curve Cryptography-Based Protocol for Message Encryption in Unmanned Aerial Vehicles

Nyangaresi,

Jasim,

Mutlaq

et al. 2023

Electronics

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Unmanned aerial vehicles have found applications in fields such as environmental monitoring and the military. Although the collected data in some of these application domains are sensitive, public channels are deployed during the communication process. Therefore, many protocols have been presented to preserve the confidentiality and integrity of the exchanged messages. However, numerous security and performance challenges have been noted in the majority of these protocols. In this paper, an elliptic curve cryptography (ECC) and symmetric key-based protocol is presented. The choice of ECC was informed by its relatively shorter key sizes compared to other asymmetric encryption algorithms such as the Rivest–Shamir–Adleman (RSA) algorithm. Security analysis showed that this protocol provides mutual authentication, session key agreement, untraceability, anonymity, forward key secrecy, backward key secrecy, and biometric privacy. In addition, it is robust against smart card loss, password guessing, known secret session temporary information (KSSTI), privileged insider, side-channeling, impersonation, denial-of-service (DoS), and man-in-the-middle (MitM) attacks. The comparative performance evaluation showed that it has relatively low computation, storage, and communication complexities.

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Unmanned Aerial Vehicles—Platforms, Applications, Security and Services

Cited by 7 publications

References 7 publications

History and Prospects for African Land Governance: Institutions, Technology and ‘Land Rights for All’

History and Prospects for African Land Governance: Institutions, Technology and ‘Land Rights for All’

DyViR: dynamic virtual reality dataset for aerial threat object detection

A Symmetric Key and Elliptic Curve Cryptography-Based Protocol for Message Encryption in Unmanned Aerial Vehicles

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