[HTML][HTML] UAV in the advent of the twenties: Where we stand and what is next

F Nex, C Armenakis, M Cramer, DA Cucci… - ISPRS journal of …, 2022 - Elsevier
Abstract The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades,
making them popular instruments for a wide range of applications, and leading to a …

Review of conflict resolution methods for manned and unmanned aviation

M Ribeiro, J Ellerbroek, J Hoekstra - Aerospace, 2020 - mdpi.com
Current investigations into urban aerial mobility, as well as the continuing growth of global
air transportation, have renewed interest in Conflict Detection and Resolution (CD&R) …

Mission-based energy consumption prediction of multirotor UAV

AS Prasetia, RJ Wai, YL Wen, YK Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) is lately one of many popular research topics. High variety
of its usage makes it attentive to be studied on its construction or the control. However …

UAV path planning for data gathering of IoT nodes: Ant colony or simulated annealing optimization

H Daryanavard, A Harifi - … Conference on Internet of Things and …, 2019 - ieeexplore.ieee.org
Using UAVs is a promising solution for gathering information of the wireless IoT sensors in
geographic areas. In this UAVs mission, due to battery-powered, the shortest possible path …

Quadrotor model for energy consumption analysis

M Jacewicz, M Żugaj, R Głębocki, P Bibik - Energies, 2022 - mdpi.com
In this paper, a quadrotor dynamic model's energy efficiency was investigated. A method for
the design of the dynamic model which assures energy consumption estimation was …

Path planning generation algorithm for a class of uav multirotor based on state of health of lithium polymer battery

R Schacht-Rodríguez, JC Ponsart… - Journal of Intelligent & …, 2018 - Springer
Nowadays, it exists path planning strategies dedicated to generate trajectories considering
different navigation issues in UAV multirotors, such as 3D navigation in cluttered and …

Minimum cost design of cellular networks in rural areas with UAVs, optical rings, solar panels, and batteries

L Chiaraviglio, L Amorosi… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Bringing the cellular connectivity in rural zones is a big challenge, due to the large
installation costs that are incurred when a legacy cellular network based on fixed Base …

Prognosis & Health Management for the prediction of UAV flight endurance

R Schacht-Rodríguez, JC Ponsart, CD Garcia-Beltran… - IFAC-PapersOnLine, 2018 - Elsevier
In this work, a Model-based Prognosis algorithm to predict the Flight Endurance (FE) and the
Remaining Mission Time (RMT) for a class of multirotor UAVs powered by Lithium Polymer …

Drone mapping through multi-agent reinforcement learning

R Zanol, F Chiariotti, A Zanella - 2019 IEEE wireless …, 2019 - ieeexplore.ieee.org
In recent years, the use of drones to map environments and survey them for items of interest
such as forest fires, landslides or wild animals has gained traction in various research …

Sead: Towards a social-media-driven energy-aware drone sensing framework

MT Rashid, DY Zhang, L Shang… - 2019 IEEE 25th …, 2019 - ieeexplore.ieee.org
Autonomous unmanned aerial vehicles (UAVs) have become an important tool for efficient
disaster response. Despite the virtues of UAVs in disaster response applications, various …