Computer vision for autonomous UAV flight safety: An overview and a vision-based safe landing pipeline example

E Kakaletsis, C Symeonidis, M Tzelepi… - Acm Computing …, 2021 - dl.acm.org
Recent years have seen an unprecedented spread of Unmanned Aerial Vehicles (UAVs, or
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …

The internet of drones: Requirements, taxonomy, recent advances, and challenges of research trends

A Abdelmaboud - Sensors, 2021 - mdpi.com
The use of unmanned aerial vehicles or drones are a valuable technique in coping with
issues related to life in the general public's daily routines. Given the growing number of …

High-level multiple-UAV cinematography tools for covering outdoor events

I Mademlis, V Mygdalis, N Nikolaidis… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Camera-equipped unmanned aerial vehicles (UAVs), or “drones,” are a recent addition to
standard audiovisual shooting technologies. As drone cinematography is expected to further …

Review of photogrammetric and lidar applications of UAV

Ľ Kovanič, B Topitzer, P Peťovský, P Blišťan… - Applied Sciences, 2023 - mdpi.com
Using Unmanned Aerial Vehicles (UAVs) combined with various sensors brings the benefits
associated with fast, automatic, and contactless spatial data collection with high resolution …

Fast CNN-based single-person 2D human pose estimation for autonomous systems

C Papaioannidis, I Mademlis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper presents a novel Convolutional Neural Network (CNN) architecture for 2D human
pose estimation from RGB images that balances between high 2D human pose/skeleton …

A multiple-UAV architecture for autonomous media production

I Mademlis, A Torres-González, J Capitán… - Multimedia Tools and …, 2023 - Springer
Abstract Cinematography with Unmanned Aerial Vehicles (UAVs) is an emerging
technology promising to revolutionize media production. On the one hand, manually …

Autonomous UAV safety by visual human crowd detection using multi-task deep neural networks

C Papaioannidis, I Mademlis… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Camera-equipped UAVs, or drones, are increasingly employed in a wide range of
applications. Thus, ensuring their safe flight in areas containing people is a top priority. In …

Learning dynamic regression with automatic distractor repression for real-time UAV tracking

C Fu, F Ding, Y Li, J Jin, C Feng - Engineering Applications of Artificial …, 2021 - Elsevier
With high efficiency and efficacy, the trackers based on the discriminative correlation filter
have experienced rapid development in the field of unmanned aerial vehicle (UAV) over the …

[图书][B] Sustainable Smart Cities

P Mishra, G Singh - 2023 - Springer
Currently, the world is becoming increasingly urbanized, and the projected forecast reveals
that more than 60% of the population will reside in the city by 2030. The cities and …

Intelligent trigonometric particle filter for visual tracking

H Nenavath, K Ashwini, RK Jatoth, S Mirjalili - ISA transactions, 2022 - Elsevier
Visual tracking is one of the pre-eminent tasks in several computer vision applications.
Particle filter (PF) is extensively used in visual tracking for intelligent surveillance system …