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Rapid Prototyping Framework for Visual Control of Autonomous Micro Aerial Vehicles
Mellado-Bataller, Ignacio; Campoy, Pascual; OLIVARES MENDEZ, Miguel Angel et al.
2012In Advances in Intelligent Systems and Computing, 193, p. 487-499
Peer reviewed
 

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Keywords :
MAV; UAV; communications; software framework
Abstract :
[en] Rapid prototyping environments can speed up the research of visual control algorithms. We have designed and implemented a software framework for fast prototyping of visual control algorithms for Micro Aerial Vehicles (MAV). We have applied a combination of a proxy-based network communication architecture and a custom Application Programming Interface. This allows multiple experimental configurations, like drone swarms or distributed processing of a drones video stream. Currently, the framework supports a low-cost MAV: the Parrot AR.Drone. Real tests have been performed on this platform and the results show comparatively low figures of the extra communication delay introduced by the framework, while adding new functionalities and flexibility to the selected drone. This implementation is open-source and can be downloaded from www.vision4uav.com/?q=VC4MAV-FW
Disciplines :
Computer science
Author, co-author :
Mellado-Bataller, Ignacio;  Universidad Politecnica de Madrid (UPM) > Computer Vision Group (CVG)
Campoy, Pascual;  Universidad Politecnica de Madrid > Computer Vision Group
OLIVARES MENDEZ, Miguel Angel ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Mejias, Luis;  Queensland University of Technology (QUT) > Australian Research Centre for Aerospace Automation (ARCAA)
Language :
English
Title :
Rapid Prototyping Framework for Visual Control of Autonomous Micro Aerial Vehicles
Publication date :
2012
Event name :
12th International Conference of Intelligent Autonomous Systems
Event place :
Jeju, South Korea
Event date :
JUN 26-29, 2012
Audience :
International
Journal title :
Advances in Intelligent Systems and Computing
ISSN :
2194-5357
Publisher :
Springer-Verlag Berlin, Berlin, Unknown/unspecified
Special issue title :
INTELLIGENT AUTONOMOUS SYSTEMS 12, VOL 1
Volume :
193
Pages :
487-499
Peer reviewed :
Peer reviewed
Commentary :
978-3-642-33925-7 Lee, S Cho, HS Yoon, KJ Lee, JM
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