A decade of UAV docking stations: A brief overview of mobile and fixed landing platforms

CG Grlj, N Krznar, M Pranjić - Drones, 2022 - mdpi.com
Unmanned Aerial Vehicles have advanced rapidly in the last two decades with the
advances in microelectromechanical systems (MEMS) technology. It is crucial, however, to …

Vision-based autonomous landing for the UAV: A review

L **n, Z Tang, W Gai, H Liu - Aerospace, 2022 - mdpi.com
With the rapid development of the UAV, it is widely used in rescue and disaster relief, where
autonomous landing is the key technology. Vision-based autonomous landing has the …

Parameter simulation of multidimensional urban landscape design based on nonlinear theory

C Liu, M Lin, HL Rauf, SS Shareef - Nonlinear Engineering, 2021 - degruyter.com
To solve the problem of large difference degree in multi-dimensional urban landscape
design, a multidimensional urban landscape design method based on nonlinear theory is …

[HTML][HTML] ArTuga: A novel multimodal fiducial marker for aerial robotics

RM Claro, DB Silva, AM Pinto - Robotics and Autonomous Systems, 2023 - Elsevier
Abstract For Vertical Take-Off and Landing Unmanned Aerial Vehicles (VTOL UAVs) to
operate autonomously and effectively, it is mandatory to endow them with precise landing …

Unadversarial examples: Designing objects for robust vision

H Salman, A Ilyas, L Engstrom… - Advances in …, 2021 - proceedings.neurips.cc
We study a class of computer vision settings wherein one can modify the design of the
objects being recognized. We develop a framework that leverages this capability---and deep …

Smartphone-based real-time object recognition architecture for portable and constrained systems

I Martinez-Alpiste, G Golcarenarenji, Q Wang… - Journal of Real-Time …, 2022 - Springer
Abstract Machine learning algorithms based on convolutional neural networks (CNNs) have
recently been explored in a myriad of object detection applications. Nonetheless, many …

Crowd detection in aerial images using spatial graphs and fully-convolutional neural networks

G Castellano, C Castiello, C Mencar, G Vessio - IEEE Access, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) also known as drones are increasingly populating our
skies. This represents a relevant issue both for the legislator and the researcher. While the …

Hybrid camera array-based uav auto-landing on moving ugv in gps-denied environment

T Yang, Q Ren, F Zhang, B **e, H Ren, J Li, Y Zhang - Remote Sensing, 2018 - mdpi.com
With the rapid development of Unmanned Aerial Vehicle (UAV) systems, the autonomous
landing of a UAV on a moving Unmanned Ground Vehicle (UGV) has received extensive …

EmbeddedPigDet—Fast and accurate pig detection for embedded board implementations

J Seo, H Ahn, D Kim, S Lee, Y Chung, D Park - Applied Sciences, 2020 - mdpi.com
Automated pig monitoring is an important issue in the surveillance environment of a pig
farm. For a large-scale pig farm in particular, practical issues such as monitoring cost should …

A UAV localization system based on double UWB tags and IMU for landing platform

Q Zeng, Y **, H Yu, X You - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The successful landing of unmanned aerial vehicles (UAVs) on unmanned vehicle landing
platforms is critical for resolving the problem of insufficient range of UAVs in practical …