[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 …

Research progress on synergistic technologies of agricultural multi-robots

W Mao, Z Liu, H Liu, F Yang, M Wang - Applied sciences, 2021 - mdpi.com
Multi-robots have shown good application prospects in agricultural production. Studying the
synergistic technologies of agricultural multi-robots can not only improve the efficiency of the …

Towards collaborative simultaneous localization and mapping: a survey of the current research landscape

PY Lajoie, B Ramtoula, F Wu, G Beltrame - arXiv preprint arXiv …, 2021 - arxiv.org
Motivated by the tremendous progress we witnessed in recent years, this paper presents a
survey of the scientific literature on the topic of Collaborative Simultaneous Localization and …

Fixed-wing UAV formation control design with collision avoidance based on an improved artificial potential field

J Zhang, J Yan, P Zhang - IEEE Access, 2018 - ieeexplore.ieee.org
This paper addresses a local minima problem for multiple unmanned aerial vehicles (UAVs)
in the process of collision avoidance by using the artificial potential field method, thereby …

A vision-based approach to UAV detection and tracking in cooperative applications

R Opromolla, G Fasano, D Accardo - Sensors, 2018 - mdpi.com
This paper presents a visual-based approach that allows an Unmanned Aerial Vehicle
(UAV) to detect and track a cooperative flying vehicle autonomously using a monocular …

Swarm intelligence-inspired autonomous flocking control in UAV networks

F Dai, M Chen, X Wei, H Wang - IEEE Access, 2019 - ieeexplore.ieee.org
The collaboration of multiple unmanned aerial vehicles (UAVs) has stimulated the
emergence of a novel wireless network paradigm named UAV network. UAV network …

Airborne visual detection and tracking of cooperative UAVs exploiting deep learning

R Opromolla, G Inchingolo, G Fasano - Sensors, 2019 - mdpi.com
The performance achievable by using Unmanned Aerial Vehicles (UAVs) for a large variety
of civil and military applications, as well as the extent of applicable mission scenarios, can …

A novel cooperative localization method based on IMU and UWB

Y Han, C Wei, R Li, J Wang, H Yu - Sensors, 2020 - mdpi.com
In this paper, a range-based cooperative localization method is proposed for multiple
platforms of various structures. The localization system of an independent platform might …

Localization of cracks in concrete structures using an unmanned aerial vehicle

HJ Woo, DM Seo, MS Kim, MS Park, WH Hong… - Sensors, 2022 - mdpi.com
Active research on crack detection technology for structures based on unmanned aerial
vehicles (UAVs) has attracted considerable attention. Most of the existing research on …

Deep reinforcement learning for autonomous map-less navigation of a flying robot

O Doukhi, DJ Lee - IEEE Access, 2022 - ieeexplore.ieee.org
Flying robots are expected to be used in many tasks, such as aerial delivery, inspection
inside dangerous areas, and rescue. However, their deployment in unstructured and highly …