Image-based obstacle detection methods for the safe navigation of unmanned vehicles: A review

S Badrloo, M Varshosaz, S Pirasteh, J Li - Remote Sensing, 2022 - mdpi.com
Mobile robots lack a driver or a pilot and, thus, should be able to detect obstacles
autonomously. This paper reviews various image-based obstacle detection techniques …

Survey of computer vision algorithms and applications for unmanned aerial vehicles

A Al-Kaff, D Martin, F Garcia, A de la Escalera… - Expert Systems with …, 2018 - Elsevier
This paper presents a complete review of computer vision algorithms and vision-based
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …

Efficient optical flow and stereo vision for velocity estimation and obstacle avoidance on an autonomous pocket drone

K McGuire, G De Croon, C De Wagter… - IEEE Robotics and …, 2017 - ieeexplore.ieee.org
Micro Aerial Vehicles (FOV) are very suitable for flying in indoor environments, but
autonomous navigation is challenging due to their strict hardware limitations. This paper …

A survey of computer vision methods for 2d object detection from unmanned aerial vehicles

D Cazzato, C Cimarelli, JL Sanchez-Lopez, H Voos… - Journal of …, 2020 - mdpi.com
The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many
applications fields. Most investigated research topics focus on increasing autonomy during …

Internet of drones security: Taxonomies, open issues, and future directions

A Derhab, O Cheikhrouhou, A Allouch, A Koubaa… - Vehicular …, 2023 - Elsevier
Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …

Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring

A Waqas, D Kang, YJ Cha - Structural Health Monitoring, 2024 - journals.sagepub.com
This paper proposes a framework for obstacle-avoiding autonomous unmanned aerial
vehicle (UAV) systems with a new obstacle avoidance method (OAM) and localization …

Livestock management with unmanned aerial vehicles: A review

MA Alanezi, MS Shahriar, MB Hasan, S Ahmed… - IEEE …, 2022 - ieeexplore.ieee.org
The ease of use and advancements in drone technology is resulting in the widespread
application of Unmanned Aerial Vehicles (UAVs) to diverse fields, making it a booming …

Bearing-based formation control of a group of agents with leader-first follower structure

MH Trinh, S Zhao, Z Sun, D Zelazo… - … on Automatic Control, 2018 - ieeexplore.ieee.org
This paper studies bearing-based formation control of a group of autonomous agents with
the leader-first follower (LFF) structure in an arbitrary dimensional space. First, the bearing …

[PDF][PDF] Aerial sensing and characterization of three-dimensional RF fields

E Teng, JD Falcao, CR Dominguez, F Mokaya… - Data Process …, 2016 - researchgate.net
Beyond military, hobby and recreational use, Unmanned Aerial Vehicles (UAVs) and the
potential they represent are being considered seriously for a variety of commercial …

A comprehensive survey on non‐cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection

L Lu, G Fasano, A Carrio, M Lei, H Bavle… - Journal of Field …, 2023 - Wiley Online Library
In recent years, unmanned aerial vehicles (UAVs) have been confirmed as a powerful tool
for countless applications in nearly every industry, in which collision avoidance plays a vital …