Reference : MAVwork: A Framework for Unified Interfacing between Micro Aerial Vehicles and Visual...

	Document type :	Parts of books : Contribution to collective works
	Discipline(s) :	Engineering, computing & technology : Aerospace & aeronautics engineering
	To cite this reference:	http://hdl.handle.net/10993/10001

Title :	MAVwork: A Framework for Unified Interfacing between Micro Aerial Vehicles and Visual Controllers
Language :	English
Author, co-author :	Mellado-Bataller, Ignacio [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group]
	Pestana, Jesús [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group]
	Olivares Mendez, Miguel Angel [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group]
	Campoy, Pascual [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group]
	Mejias, Luis [Queensland University of Technology (QUT) - Australian Research Center for Automation Aerospace (ARCAA)]
Publication date :	2013
Main document title :	Frontiers of Intelligent Autonomous Systems
Editor :	Lee, Sukhan
	Yoon, Kwang-Joon
	Lee, Jangmyung
Publisher :	Springer Berlin Heidelberg
Collection and collection volume :	Studies in Computational Intelligence
Pages :	165-179
Peer reviewed :	Yes
ISBN :	978-3-642-35484-7
Keywords :	[en] MAV ; UAV ; communications ; framework ; software architecture
Abstract :	[en] Debugging control software for Micro Aerial Vehicles (MAV) can be risky out of the simulator, especially with professional drones that might harm people around or result in a high bill after a crash. We have designed a framework that enables a software application to communicate with multiple MAVs from a single unified interface. In this way, visual controllers can be first tested on a low-cost harmless MAV and, after safety is guaranteed, they can be moved to the production MAV at no additional cost. The framework is based on a distributed architecture over a network. This allows multiple configurations, like drone swarms or parallel processing of drones' video streams. Live tests have been performed and the results show comparatively low additional communication delays, while adding new functionalities and flexibility. This implementation is open-source and can be downloaded from github.com/uavster/mavwork
Permalink :	http://hdl.handle.net/10993/10001
DOI :	10.1007/978-3-642-35485-4_13
Other URL :	http://dx.doi.org/10.1007/978-3-642-35485-4_13

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