A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

P McEnroe, S Wang, M Liyanage - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

Backbones-review: Feature extraction networks for deep learning and deep reinforcement learning approaches

O Elharrouss, Y Akbari, N Almaadeed… - arXiv preprint arXiv …, 2022 - arxiv.org
To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …

A review of video surveillance systems

O Elharrouss, N Almaadeed, S Al-Maadeed - Journal of Visual …, 2021 - Elsevier
Automated surveillance systems observe the environment utilizing cameras. The observed
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …

[HTML][HTML] Simultaneous localization and mapping (slam) and data fusion in unmanned aerial vehicles: Recent advances and challenges

A Gupta, X Fernando - Drones, 2022 - mdpi.com
This article presents a survey of simultaneous localization and mapping (SLAM) and data
fusion techniques for object detection and environmental scene perception in unmanned …

Image generation: A review

M Elasri, O Elharrouss, S Al-Maadeed, H Tairi - Neural Processing Letters, 2022 - Springer
The creation of an image from another and from different types of data including text, scene
graph, and object layout, is one of the very challenging tasks in computer vision. In addition …

Siamese object tracking for unmanned aerial vehicle: A review and comprehensive analysis

C Fu, K Lu, G Zheng, J Ye, Z Cao, B Li, G Lu - Artificial Intelligence Review, 2023 - Springer
Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of
applications and attracted increasing attention in the field of artificial intelligence (AI) …

Aerial: A meta review and discussion of challenges toward unmanned aerial vehicle operations in logistics, mobility, and monitoring

S Wandelt, S Wang, C Zheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
There exists a tremendous number of research surveys on various aspects of UAV logistics,
mobility and monitoring tasks in the literature. These surveys have been published in distinct …

Panoptic segmentation: A review

O Elharrouss, S Al-Maadeed, N Subramanian… - arXiv preprint arXiv …, 2021 - arxiv.org
Image segmentation for video analysis plays an essential role in different research fields
such as smart city, healthcare, computer vision and geoscience, and remote sensing …

Placement and drone flight path mapping of agricultural soil sensors using machine learning

P Goodrich, O Betancourt, AC Arias, T Zohdi - Computers and Electronics in …, 2023 - Elsevier
Accurate soil data, which can be collected with agricultural sensors spaced at the half-
variogram range, is crucial information for precision agriculture. Drones offer a unique …

Integrating advanced technologies in corrosion and inspection management for oil and gas operations

PO Odili, CD Daudu, A Adefemi, IO Ekemezie… - Engineering Science & …, 2024 - fepbl.com
The oil and gas industry is witnessing a paradigm shift in corrosion detection, inspection
methodologies, and maintenance practices due to the integration of advanced technologies …