Observatorio de I+D+i UPM

Descripción
Computer vision is much more than a technique to sense and recover environmental information from an UAV. It should play a main role regarding UAVs’ functionality because of the big amount of information that can be extracted, its possible uses and applications, and its natural connection to human driven tasks, taking into account that vision is our main interface to world understanding. Our current research’s focus lays on the development of techniques that allow UAVs to maneuver in spaces using visual information as their main input source. This task involves the creation of techniques that allow an UAV to maneuver towards features of interest whenever a GPS signal is not reliable or suffi cient, e.g. when signal dropouts occur (which usually happens in urban areas, when flying through terrestrial urban canyons or when operating on remote planetary bodies), or when tracking or inspecting visual targets—including moving ones—without knowing their exact UMT coordinates. This paper also investigates visual servoing control techniques that use velocity and position of suitable image features to compute the references for flight control. This paper aims to give a global view of the main aspects related to the research field of computer vision for UAVs, clustered in four main active research lines: visual servoing and control, stereo-based visual navigation, image processing algorithms for detection and tracking, and visual SLAM. Finally, the results of applying these techniques in several applications are presented and discussed: this study will encompass power line inspection, mobile target tracking, stereo distance estimation, mapping and positioning.
Internacional	Si
JCR del ISI	Si
Título de la revista	JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
ISSN	0921-0296
Factor de impacto JCR	0,459
Información de impacto
Volumen	54
DOI	10.1007/s10846-008-9256-z
Número de revista	1
Desde la página	105
Hasta la página	135
Mes	AGOSTO
Ranking

Esta actividad pertenece a memorias de investigación

• Participante: Juan Fernando Correa Caicedo
• Autor: Pascual Campoy Cervera (UPM)
• Autor: Luis Mejías . (UPM)
• Autor: Jorge Artieda Trigueros (UPM)
• Autor: Ivan Fernando Mondragon Bernal (UPM)
• Autor: Carol Viviana Martinez Luna (UPM)
• Autor: Miguel Ángel Olivares Mendez (UPM)

• Creador: Grupo de Investigación: Visión por computador
• Departamento: Automática, Ingeniería Electrónica e Informática Industrial