A concept for catching drones with a net carried by cooperative UAVs

Rothe, Julian; Strohmeier, Michael; Montenegro, Sérgio

doi:10.1109/ssrr.2019.8848973

Cited by 27 publications

(19 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The nets can be deployed from another UAV system or ground launchers through turret or gun like structures. However, as nets are bulky and large the system may be inaccurate, need long reload-time and are short-ranged [135] . Projectiles like missiles and explosives can also be used for neutralizing the drone [136] .…”

Section: Uav Neutralizing Techniquesmentioning

confidence: 99%

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

et al. 2021

View full text Add to dashboard Cite

Unmanned Aerial Vehicles (UAV) have revolution- ized the aircraft industry in this decade. UAVs are now capable of carrying out remote sensing, remote monitoring, courier delivery, and a lot more. A lot of research is happening on making UAVs more robust using energy harvesting techniques to have a better battery lifetime, network performance and to secure against attackers. UAV networks are many times used for unmanned missions. There have been many attacks on civilian, military, and industrial targets that were carried out using remotely controlled or automated UAVs. This continued misuse has led to research in preventing unauthorized UAVs from causing damage to life and property. In this paper, we present a literature review of UAVs, UAV attacks, and their prevention using anti-UAV techniques. We first discuss the different types of UAVs, the regulatory laws for UAV activities, their use cases, recreational, and military UAV incidents. After understanding their operation, various techniques for monitoring and preventing UAV attacks are described along with case studies.

show abstract

Section: Uav Neutralizing Techniquesmentioning

confidence: 99%

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

et al. 2021

View full text Add to dashboard Cite

show abstract

“…For example, reference [1] describes a system for aerial picking and delivery, in which precise localization and maneuverability must be ensured for mission success. A similar accuracy is required by the concept presented in [2] where cooperative drones are used as a counter-measure against small hostile UAVs in the urban environment. In the field of aerial manipulation, precise traversing of aerial robots is mandatory, too; for example, when manipulating an unknown drawer with a UAV as described in [3].…”

Section: Introductionmentioning

confidence: 86%

Thrust Vector Observation for Force Feedback-Controlled UAVs

Werner

Strohmeier

Rothe

et al. 2022

Drones

Self Cite

View full text Add to dashboard Cite

This paper presents a novel approach to Thrust Vector Control (TVC) for small Unmanned Aerial Vehicles (UAVs). The difficulties associated with conventional feed-forward TVC are outlined, and a practical solution to conquer these challenges is derived. The solution relies on observing boom deformations that are created by different thrust vector directions and high-velocity air inflow. The paper describes the required measurement electronics as well as the implementation of a dedicated testbed that allows the evaluation of mid-flight force measurements. Wind-tunnel tests show that the presented method for active thrust vector determination is able to quantify the disturbances due to the incoming air flow.

show abstract

“…Rothe et al [33] combine two physical defense elements for catching a rogue drone with a net carried by cooperative UAVs. However, a target detection system is assumed, which provides reliable position and velocity estimates.…”

Section: Related Workmentioning

confidence: 99%

Multi-Agent Coordinated Close-in Jamming for Disabling a Rogue Drone

Valianti

Papaioannou

Kolios

et al. 2022

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

Drones, including remotely piloted aircraft or unmanned aerial vehicles, have become extremely appealing over the recent years, with a multitude of applications and usages. However, they can potentially present major threats for security and public safety, especially when they fly across critical infrastructures and public spaces. This work investigates a novel counter-drone solution by proposing a multi-agent framework in which a team of pursuer drones cooperate in order to track and jam a rogue drone. Within the proposed framework, a joint mobility and power control solution is developed to optimize the respective decisions of each cooperating agent in order to best track and intercept the moving rogue drone. Both centralized and distributed variants of the joint optimization problem are developed and extensive simulations are conducted to evaluate the performance of the problem variants and to demonstrate the effectiveness of the proposed solution.

show abstract

A concept for catching drones with a net carried by cooperative UAVs

Cited by 27 publications

References 8 publications

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

Thrust Vector Observation for Force Feedback-Controlled UAVs

Multi-Agent Coordinated Close-in Jamming for Disabling a Rogue Drone

Contact Info

Product

Resources

About