Vision-based navigation techniques for unmanned aerial vehicles: Review and challenges

MY Arafat, MM Alam, S Moh - Drones, 2023 - mdpi.com
In recent years, unmanned aerial vehicles (UAVs), commonly known as drones, have
gained increasing interest in both academia and industries. The evolution of UAV …

On the detection of unauthorized drones—Techniques and future perspectives: A review

MA Khan, H Menouar, A Eldeeb… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The market size of civilian drones is tremendously increasing and is expected to reach 1.66
million by the end of 2023. The increase in number of civilian drones poses several privacy …

UAV fault detection methods, state-of-the-art

R Puchalski, W Giernacki - Drones, 2022 - mdpi.com
The continual expansion of the range of applications for unmanned aerial vehicles (UAVs) is
resulting in the development of more and more sophisticated systems. The greater the …

UAV-assisted IoT applications, cybersecurity threats, AI-enabled solutions, open challenges with future research directions

M Adil, H Song, S Mastorakis… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Unnamed Ariel Vehicle-assisted-Internet of Things (UAV-assisted IoT) applications have
emerged as a powerful integrated technology, showcasing remarkable results in many …

Towards UAVs in construction: advancements, challenges, and future directions for monitoring and inspection

H Liang, SC Lee, W Bae, J Kim, S Seo - Drones, 2023 - mdpi.com
The use of UAVs for monitoring and inspection in the construction industry has garnered
considerable attention in recent years due to their potential to enhance safety, efficiency …

Unmanned-aerial-vehicle-assisted wireless networks: Advancements, challenges, and solutions

M Dai, N Huang, Y Wu, J Gao… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The rapid development of communication and computing techniques enables unmanned
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …

A review of indoor positioning systems for UAV localization with machine learning algorithms

C Sandamini, MWP Maduranga, V Tilwari, J Yahaya… - Electronics, 2023 - mdpi.com
The potential of indoor unmanned aerial vehicle (UAV) localization is paramount for
diversified applications within large industrial sites, such as hangars, malls, warehouses …

Surveying neuro-symbolic approaches for reliable artificial intelligence of things

Z Lu, I Afridi, HJ Kang, I Ruchkin, X Zheng - Journal of Reliable Intelligent …, 2024 - Springer
Abstract The integration of Artificial Intelligence (AI) with the Internet of Things (IoT), known
as the Artificial Intelligence of Things (AIoT), enhances the devices' processing and analysis …

Recent advances in mmWave-radar-based sensing, its applications, and machine learning techniques: A review

A Soumya, C Krishna Mohan, LR Cenkeramaddi - Sensors, 2023 - mdpi.com
Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive
driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant …

A survey of next-generation computing technologies in space-air-ground integrated networks

Z Shen, J **, C Tan, A Tagami, S Wang, Q Li… - ACM Computing …, 2023 - dl.acm.org
Space-air-ground integrated networks (SAGINs) are key elements for facilitating high-speed
seamless connectivity to the devices/users in infrastructure-less environments, where the …