Aerial object following using visual fuzzy servoing


Autoria(s): Olivares-Mendez, Miguel A.; Mondragon, Ivan; Campoy Cervera, Pascual; Mejias, Luis; Martinez, Carol
Data(s)

2011

Resumo

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 colour information. A visual fuzzy system has been developed for servoing the camera situated on a rotary wing MAUV, that also considers its own dynamics. This system is focused on continuously following of an aerial moving target object, maintaining it with a fixed safe distance and centred on the image plane. The algorithm is validated on real flights on outdoors scenarios, showing the robustness of the proposed systems against winds perturbations, illumination and weather changes among others. The obtained results indicate that the proposed algorithms is suitable for complex controls task, such object following and pursuit, flying in formation, as well as their use for indoor navigation

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/46595/

Publicador

Centro Avanzado de Tecnologías Aeroespaciales (CATEC)

Relação

http://eprints.qut.edu.au/46595/1/Aerial_Object_Following_Using_Visual_Fuzzy_Servoing_FinalVersion.pdf

http://www.catec.aero/red-uas/proceedings.htm

Olivares-Mendez, Miguel A., Mondragon, Ivan, Campoy Cervera, Pascual, Mejias, Luis, & Martinez, Carol (2011) Aerial object following using visual fuzzy servoing. In Proceedings of the 1st Workshop on Research, Development and Education on Unmanned Aerial Systems (RED-UAS 2011), Centro Avanzado de Tecnologías Aeroespaciales (CATEC) , Seville, Spain, pp. 61-70.

Direitos

Copyright 2011

Fonte

Australian Research Centre for Aerospace Automation; Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #080104 Computer Vision #090100 AEROSPACE ENGINEERING #090602 Control Systems Robotics and Automation #Visual Servoing #Fuzzy Control #Soft Computing #UAV
Tipo

Conference Paper