UAV–UGVs cooperation: With a moving center based trajectory

Aghaeeyan, Azadeh; Abdollahi, Farzaneh; Talebi, Heidar Ali

doi:10.1016/j.robot.2014.10.005

Cited by 27 publications

(13 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3, when UGVs are deployed in complex or hostile environments, it will be extremely difficult to progress normally. Therefore, the hovering of one or multiple UAVs above UGVs and overseeing their surroundings can help them to both find the optimal path between two points and guide them across the path [104]. In the case when UAVs want to track a given object (e.g., tracking a UGV for a safe landing), they estimate the trajectory of this object based on the intercepted images while it is moving [105].…”

Section: A Path Planningmentioning

confidence: 99%

UAV assistance paradigm: State-of-the-art in applications and challenges

Alzahrani

Oubbati

Barnawi

et al. 2020

Journal of Network and Computer Applications

296

128

View full text Add to dashboard Cite

Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to be used in industries and various sectors of human life to provide a wide range of applications and services. During the last decade, there has been a growing focus of research in the UAV's assistance paradigm as a fundamental concept resulting in the constant improvement between different kinds of ground networks and the hovering UAVs in the sky. Recently, the wide availability of embedded wireless interfaces in the communicating entities has allowed the deployment of such a paradigm simpler and easiest. Moreover, due to UAVs' controlled mobility and adjustable altitudes, they can be considered as the most appropriate candidate to enhance the performance and overcome the restrictions of ground networks. This comprehensive survey both studies and summarizes the existing UAV-assisted research, such as routing, data gathering, cellular communications, Internet of Things (IoT) networks, and disaster management that supports existing enabling technologies. Descriptions, classifications, and comparative studies related to different UAV-assisted proposals are presented throughout the paper. By pointing out numerous future challenges, it is expected to simulate research in this emerging and hot research area. To the best of our knowledge, there are many survey papers on the topic from a technology perspective. Nevertheless, this survey can be considered as the first attempt at a comprehensive analysis of different types of existing UAV-assisted networks and describes the state-of-the-art in UAV-assisted research.

show abstract

Section: A Path Planningmentioning

confidence: 99%

UAV assistance paradigm: State-of-the-art in applications and challenges

Alzahrani

Oubbati

Barnawi

et al. 2020

Journal of Network and Computer Applications

296

128

View full text Add to dashboard Cite

show abstract

“…Unmanned aerial vehicles (UAVs) have become more popular in a variety of military and civilian applications where human participation is difficult or risky [1], [2]. The design of a UAV's flight control system to ensure robust stability and acceptable performance within a given flight envelope in the presence of actuator and sensor uncertainties, as well as external disturbances such as wind gusts, is one of the most difficult tasks that designers face [3]- [5]. Therefore, this paper is devoted to design a longitudinal flight control system for the fixed-wing aerosonde UAV.…”

Section: Introductionmentioning

confidence: 99%

Smart aerosonde UAV longitudinal flight control system based on genetic algorithm

2021

View full text Add to dashboard Cite

Synthesis of a flight control system for such an aircraft that achieves stable and acceptable performance across a specified flying envelope in the presence of uncertainties represents an attractive and challenging design problem. This study uses the genetic self-tuning PID algorithm to develop an intelligent flight control system for the aerosonde UAV model. To improve the system's transient responses, the gains of the PID controller are improved using a genetic algorithm (GA). Simulink/MATLAB software is used to model and simulate the proposed system. The proposed PID controller integrated with the GA is compared with the classical one. Three simulation scenarios are carried out. In the first scenario, and at normal conditions, the proposed controller performance is better than the classical one. While in the second scenario, identical results are achieved from both controllers. Finally, in the third scenario, the PID controller with GA shows the robustness and durability of the system compared with the classical PID in presence of external wind disturbance. The simulation results prove the system parameters optimization.

show abstract

“…in geodesy, parcel transport and building protection or photography; Bonali et al, 2019; Choudhary et al, 2019; Fujimori et al, 2018) and amongst ordinary people who use them for recreational purposes. There are also solutions in which devices, connected with each other, are able to provide access to the Internet in certain crisis areas (Aghaeeyan et al, 2015). The aim is also to integrate drones with autonomous cars (Khamseh et al, 2015; Kopiche et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Practical Aspects of Design and Testing Unmanned Aerial Vehicles

Szywalski

Waindok

2020

Acta Mechanica Et Automatica

View full text Add to dashboard Cite

A design of an unmanned aerial vehicle (UAV) construction, intended for autonomous flights in a group, was presented in this article. The design assumptions, practical implementation and results of the experiments were given. Some of the frame parts were made using 3D printing technology. It not only reduces the costs but also allows for better fitting of the covers to the electronics, which additionally protects them against shocks and dirt. The most difficult task was to develop the proper navigation system. Owing to high costs of precision positioning systems, common global positioning system (GPS) receivers were used. Their disadvantage is the floating position error. The original software was also described. It controls the device, allows performing autonomous flight along a pre-determined route, analyses all parameters of the drone and sends them in a real time to the operator. The tests of the system were carried out and presented in the article, as well.

show abstract

UAV–UGVs cooperation: With a moving center based trajectory

Cited by 27 publications

References 30 publications

UAV assistance paradigm: State-of-the-art in applications and challenges

UAV assistance paradigm: State-of-the-art in applications and challenges

Smart aerosonde UAV longitudinal flight control system based on genetic algorithm

Practical Aspects of Design and Testing Unmanned Aerial Vehicles

Contact Info

Product

Resources

About