VBII-UAV: Vision-Based Infrastructure Inspection-UAV

Al-Kaff, Abdulla; Moreno, Francisco Miguel; José, Luis Javier San; García, Fernando; Martín, David; Escalera, Arturo de la; Nieva, Alberto; Garcéa, José Luis Meana

doi:10.1007/978-3-319-56538-5_24

Cited by 29 publications

(38 citation statements)

References 22 publications

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“…We also evaluated the effectiveness of the detection methods, including the background class. Our experimental results have shown that the six-class method, with the background class, surpasses the five-class method [9].…”

Section: Object Detectionmentioning

confidence: 81%

Implementation of Control System and Tracking Objects in a Quadcopter System

Ariram

Röning

Kowalczuk

2019

Lecture Notes in Computer Science

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In this paper, we implement a quadcopter assembly with control and navigation module. The project also includes the design of the control panel for the operator which consists of a set of the microcontroller and the glove equipped with sensors and buttons. The panel has a touch screen which displays current parameters such as vehicle status, including information about orientation and geographical coordinates. The concept of quadcopter control is based on the movement of the operator hand. In addition, we have included the object detection for detecting the objects from the quadcopter view of point. To detect an object, we need to have some idea of where the object may be and how the image is divided into segments. It creates a kind of chicken and egg problem, where we must recognize the shape (and class) of the object knowing its location and recognize the location of the object knowing its shape. Some visual characteristics such as clothing and the human face, they can be part of the same subject, but it is difficult to recognize this without recognizing the object first.

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Section: Object Detectionmentioning

confidence: 81%

Implementation of Control System and Tracking Objects in a Quadcopter System

Ariram

Röning

Kowalczuk

2019

Lecture Notes in Computer Science

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“…Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) have positioned themselves at the forefront of important fields of research oriented to various tasks, such as infrastructure inspection [1][2][3][4], surveillance [5,6], search and rescue [7][8][9], or delivery [10,11].…”

Section: Introductionmentioning

confidence: 99%

3D Trajectory Planning Method for UAVs Swarm in Building Emergencies

Madridano

Al-Kaff

Martín

et al. 2020

Sensors

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The development in Multi-Robot Systems (MRS) has become one of the most exploited fields of research in robotics in recent years. This is due to the robustness and versatility they present to effectively undertake a set of tasks autonomously. One of the essential elements for several vehicles, in this case, Unmanned Aerial Vehicles (UAVs), to perform tasks autonomously and cooperatively is trajectory planning, which is necessary to guarantee the safe and collision-free movement of the different vehicles. This document includes the planning of multiple trajectories for a swarm of UAVs based on 3D Probabilistic Roadmaps (PRM). This swarm is capable of reaching different locations of interest in different cases (labeled and unlabeled), supporting of an Emergency Response Team (ERT) in emergencies in urban environments. In addition, an architecture based on Robot Operating System (ROS) is presented to allow the simulation and integration of the methods developed in a UAV swarm. This architecture allows the communications with the MavLink protocol and control via the Pixhawk autopilot, for a quick and easy implementation in real UAVs. The proposed method was validated by experiments simulating building emergences. Finally, the obtained results show that methods based on probability roadmaps create effective solutions in terms of calculation time in the case of scalable systems in different situations along with their integration into a versatile framework such as ROS.

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“…Los desarrollos en elárea de la electrónica han provocado la mejora de la versatilidad y aplicabilidad de los sistemas móviles robóticos. La reducción del peso y coste de los dispositivos instalados en los diferentes vehículos y el aumento de su autonomía ha provocado la irrupción de los Vehículos Aéreos No Tripulados (UAVs) y de los Vehículos Terrestres No Tripulados (UGVs) en un gran número de actividades militares [21] y civiles, como la inspección de infraestructuras [2], monitorización del tráfico [7], entregas [3] y labores de búsqueda y rescate [1].…”

Section: Introductionunclassified