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Academic Articles & Research Papers
Showing 20 of 49 academic articles
Yonatan T. Tesfaye, Eyasu Zemene, Marcello Pelillo, Andrea Prati • IET Computer Vision
(2016)
Multi‐object tracking is an interesting but challenging task in the field of computer vision. Most previous works based on data association techniques merely take into account the relationship between detection responses in a locally limite...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2015.0297
Arailym Serikbay, Venera Nurmanova, Yerbol Akhmetov, Amin Zollanvari et al. • International Transactions on Electrical Energy Systems
(2025)
Regular monitoring of outdoor insulators is crucial to ensure the reliable functioning of the power grid. With recent progress in computer vision technologies, traditional manual and expensive visual inspections can now be replaced by autom...
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Open Access (DOAJ)
DOI: 10.1155/etep/8669289
Francesco Nex, Davide Marenchino, Andrea Lingua • Sensors
(2009)
In the photogrammetry field, interest in region detectors, which are widely used in Computer Vision, is quickly increasing due to the availability of new techniques. Images acquired by Mobile Mapping Technology, Oblique Photogrammetric Came...
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Open Access (DOAJ)
DOI: 10.3390/s90503745
Riccardo Polvara, Sanjay Sharma, Jian Wan, Andrew Manning et al. • Drones
(2018)
Autonomous landing on the deck of an unmanned surface vehicle (USV) is still a major challenge for unmanned aerial vehicles (UAVs). In this paper, a fiducial marker is located on the platform so as to facilitate the task since it is possibl...
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Open Access (DOAJ)
DOI: 10.3390/drones2020015
Luna Ngeljaratan, Elif Ecem Bas, Mohamed A. Moustafa • Sensors
(2024)
Computer vision in the structural health monitoring (SHM) field has become popular, especially for processing unmanned aerial vehicle (UAV) data, but still has limitations both in experimental testing and in practical applications. Prior wo...
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Open Access (DOAJ)
DOI: 10.3390/s24051450
Giuseppe Silano, Luigi Iannelli • IEEE Access
(2021)
The main motivation of this work is to propose a simulation approach for a specific task within the Unmanned Aerial Vehicle (UAV) field, i.e., the visual detection and tracking of arbitrary moving objects. In particular, it is described MAT...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3064758
Khazaal Abbas Maaroof Maysoon, Bouhlel Med Salim • BIO Web of Conferences
(2024)
The methods of deep learning have lately demonstrated outstanding outcomes of robotic objects such as imagination, localization and striping. Its exceptional abilities in order to learn idealizations from complicated data gathered in the re...
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Open Access (DOAJ)
DOI: 10.1051/bioconf/20249700008
Billie F. Spencer, Vedhus Hoskere, Yasutaka Narazaki • Engineering
(2019)
Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure condition assessment. The ultimate goal of such a system i...
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DOI: https://doi.org/10.1016/j.eng.2018.11.030
George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen et al. • Chapman & Hall/CRC eBooks
(2022)
Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Visio...
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Open Access
DOI: https://doi.org/10.1201/9781003162810
Wenan Yuan • Data
(2024)
As one of the most important topics in contemporary computer vision research, object detection has received wide attention from the precision agriculture community for diverse applications. While state-of-the-art object detection frameworks...
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Open Access (DOAJ)
DOI: 10.3390/data9020036
Hormazd Ranjbar, Perry Forsythe, Alireza Ahmadian Fard Fini, Mojtaba Maghrebi et al. • Results in Engineering
(2023)
According to the recent world bank report, around 80% of a life-cycle cost of a road is devoted to maintenance which includes monitoring and repair processes. To more effectively keep road serviceability, knowing the current status of road ...
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Open Access (DOAJ)
DOI: 10.1016/j.rineng.2023.101130
Jian Liu, Pei Niu, Yihui Jiang, Zilong Zhao et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2026)
Object detection in uncrewed aerial vehicle (UAV) acquired images remains a challenging task due to extreme scale variation, dense object layouts, and complex backgrounds, etc. Although convolutional neural networks (CNNs), transformers, an...
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Open Access (DOAJ)
DOI: 10.1109/JSTARS.2026.3729713
Kai Chen, Pengtao Zhang, Liang You, Jian Sun • Applied Sciences
(2024)
In response to the challenge of single navigation methods failing to meet the high precision requirements for unmanned aerial vehicle (UAV) navigation in complex environments, a novel algorithm that integrates Global Navigation Satellite Sy...
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Open Access (DOAJ)
DOI: 10.3390/app14135493
Lucas Prado Osco, José Marcato, Ana Paula Marques Ramos, Lúcio André de Castro Jorge et al. • International Journal of Applied Earth Observation and Geoinformation
(2021)
Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, time-series, natural language, audio, video, and many others. In the remote sensing field, ...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.jag.2021.102456
Kirill Djebko, Patrick Schurk, Tom Baumann, Frank Puppe et al. • Aerospace
(2025)
Artificial Intelligence (AI) is rapidly transforming engineering fields, from robotics to aerospace, with applications in control systems for UAVs and satellites. This work builds on a previously developed AI attitude controller for the Inn...
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Open Access (DOAJ)
DOI: 10.3390/aerospace12121039
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam et al. (2011)
Deep networks have been successfully applied to unsupervised feature learning for single modalities (e.g., text, images or audio). In this work, we propose a novel application of deep networks to learn features over multiple modalities. We ...
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Prot Piyakawanich, Pattarapong Phasukkit • Drones
(2024)
In the rapidly evolving domain of Unmanned Aerial Vehicles (UAVs), precise altitude estimation remains a significant challenge, particularly for lightweight UAVs. This research presents an innovative approach to enhance altitude estimation ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/drones8120718
Jiaxin Li, Tong Duan, Peng Yi, Zhen Zhang et al. • Complex & Intelligent Systems
(2026)
Abstract Obstacles in low-altitude environments force unmanned aerial vehicle (UAV) swarms to frequently alter their flight paths and communication links, which can easily cause network interruptions. It remains a significant challenge for ...
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Open Access (DOAJ)
DOI: 10.1007/s40747-026-02343-y
N. Kannaiya Raja, E. Laxmi Lydia, Thumpala Archana Acharya, K. Radhika et al. • IEEE Access
(2023)
In recent years, drones or Unmanned Aerial Vehicles (UAVs) got significant attention among researchers because of their extensive application in commercial applications, border surveillance, etc. As the conventional terrestrial communicatio...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3324068
Szu-Pyng Kao, Yung-Chen Chang, Feng-Liang Wang • Sensors
(2023)
Bridges are often at risk due to the effects of natural disasters, such as earthquakes and typhoons. Bridge inspection assessments normally focus on cracks. However, numerous concrete structures with cracked surfaces are highly elevated or ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23052572