Rapid prototyping framework for visual control of autonomous micro aerial vehicles

Mellado Bataller, Ignacio and Campoy Cervera, Pascual and Olivares Méndez, Miguel Ángel and Mejias Alvarez, Luis (2012). Rapid prototyping framework for visual control of autonomous micro aerial vehicles. In: "12th International Conference IAS-12", 26/06/2012 - 29/06/2012, Jeju Island, Korea. pp. 487-500.

Description

Title: Rapid prototyping framework for visual control of autonomous micro aerial vehicles
Author/s:
  • Mellado Bataller, Ignacio
  • Campoy Cervera, Pascual
  • Olivares Méndez, Miguel Ángel
  • Mejias Alvarez, Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: 12th International Conference IAS-12
Event Dates: 26/06/2012 - 29/06/2012
Event Location: Jeju Island, Korea
Title of Book: Intelligent Autonomous Systems 12
Date: 2012
Subjects:
Freetext Keywords: MAV, UAV communications, software framework
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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

More information

Item ID: 20647
DC Identifier: https://oa.upm.es/20647/
OAI Identifier: oai:oa.upm.es:20647
Deposited by: Memoria Investigacion
Deposited on: 26 Feb 2014 17:30
Last Modified: 22 Sep 2014 11:20
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