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Rapid prototyping framework for visual control of autonomous micro aerial vehicles

Mellado-Bataller, Ignacio , Mejias, Luis, Campoy, Pascual , & Olivares-Mendez, Miguel A. (2012) Rapid prototyping framework for visual control of autonomous micro aerial vehicles. In Digital Proceedings of the 12th International Conference on Intelligent Autonomous System (IAS-12), Jeju Island, Korea. (In Press)

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Abstract

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 drone's 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

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ID Code: 50709
Item Type: Conference Paper
Keywords: MAV, UAV, communications, software framework, Visual control
DOI: 10.1007/978-3-642-33926-4_45
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Avionics (090105)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Please consult the authors.
Deposited On: 04 Jun 2012 10:26
Last Modified: 23 Jan 2014 08:33

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