Pascual Campoy

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— We present the design and implementation of a vision based feature tracking system for an autonomous helicopter. Visual sensing is used for estimating the position and velocity of the features (urban features like windows) with respect to the helicopter. These reference signals are then combined with GPS to navigate towards these features and then track(More)
  • Iván Fernando Mondragón, Pascual Campoy, Juan Fernando Correa, Luis Mejias
  • 2007
– This paper explores the possibilities to use robust object tracking algorithms based on visual model features as generator of visual references for UAV control. A Scale Invariant Feature Transform (SIFT) algorithm is used for detecting the salient points at every processed image, then a projective transformation for evaluating the visual references is(More)
INTRODUCTION Urinary symptoms in Parkinson's disease (PD) are minor but disabling. We have analyzed correlation of urinary symptoms with motor symptoms, duration and severity of PD and urodynamic abnormalities observed. Response to treatment with tolterodine was also assessed. METHODS PD male patients with a score in IPSS questionnaire over 7 and female(More)
We present a system to estimate the altitude and motion of an aerial vehicle using a stereo visual system. The system has been initially tested on a ground robot and the novelty lays on its application and robustness validation in an UAV, where vibrations and rapid environmental changes take place. The two main functionalities are height estimation and(More)
  • M A Olivares-Mendez, Luis Mejias, Pascual Campoy, Ignacio Mellado-Bataller, Www Vision4uav Eu
  • 2012
Unmanned Aerial Vehicles (UAVs) are fast growing sector. Nowadays, the market offers numerous possibilities for off-the-shelf UAVs such as quadrotors. Until UAVs demonstrate advance capabilities such as autonomous collision they will be segregated and restricted to flight in controlled environments. This work presents a visual fuzzy servoing system for(More)
  • Miguel A Olivares-Mendez, Iván F Mondragón, Pascual Campoy, Luis Mejías, Carol Martinez, C José Gutiérrez Abascal +2 others
  • 2011
This article presents a visual servoing system to follow a 3D moving object by a Micro Unmanned Aerial Vehicle (MUAV). The presented control strategy is based only on the visual information given by an adaptive tracking method based on the color information. A visual fuzzy system has been developed for servoing the camera situated on a rotary wing MAUV,(More)
Lateral flow assay tests are nowadays becoming powerful, low-cost diagnostic tools. Obtaining a result is usually subject to visual interpretation of colored areas on the test by a human operator, introducing subjectivity and the possibility of errors in the extraction of the results. While automated test readers providing a result-consistent solution are(More)
Autonomous route following with road vehicles has gained popularity in the last few decades. In order to provide highly automated driver assistance systems, different types and combinations of sensors have been presented in the literature. However, most of these approaches apply quite sophisticated and expensive sensors, and hence, the development of a(More)
  • Changhong Fu, Ramon Suarez-Fernandez, Miguel A Olivares-Mendez, Pascual Campoy
  • 2014
This paper presents a novel robust visual tracking framework, based on discrimi-native method, for Unmanned Aerial Vehicles (UAVs) to track an arbitrary 2D/3D target at real-time frame rates, that is called the Adaptive Multi-Classifier Multi-Resolution (AMCMR) framework. In this framework, adaptive Multiple Classifiers (MC) are updated in the (k-1)th(More)