A vision based aerial rbot solution for the IARC 2014 by the Technical University of Madrid

Pestana Puerta, Jesús and Sánchez López, José Luis and Suárez Fernández, Ramón and Collumeau, Jean-Françoise and Campoy Cervera, Pascual and Martín Cristóbal, Jorge and Molina, Martin and Lope Asiaín, Javier de and Maravall Gomez-Allende, Darío (2014). A vision based aerial rbot solution for the IARC 2014 by the Technical University of Madrid. In: "International Aerial Robotics Competition Sixth Composium on Indoor", 6-8 Aug 2014, Yantai, China. pp. 1-12.

Description

Title: A vision based aerial rbot solution for the IARC 2014 by the Technical University of Madrid
Author/s:
  • Pestana Puerta, Jesús
  • Sánchez López, José Luis
  • Suárez Fernández, Ramón
  • Collumeau, Jean-Françoise
  • Campoy Cervera, Pascual
  • Martín Cristóbal, Jorge
  • Molina, Martin
  • Lope Asiaín, Javier de
  • Maravall Gomez-Allende, Darío
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Aerial Robotics Competition Sixth Composium on Indoor
Event Dates: 6-8 Aug 2014
Event Location: Yantai, China
Title of Book: International Aerial Robotics Competition Sixth Composium on Indoor
Date: 2014
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The IARC competitions aim at making the state of the art in UAV progress. The 2014 challenge deals mainly with GPS/Laser denied navigation, Robot-Robot interaction and Obstacle avoidance in the setting of a ground robot herding problem. We present in this paper a drone which will take part in this competition. The platform and hardware it is composed of and the software we designed are introduced. This software has three main components: the visual information acquisition, the mapping algorithm and the Aritificial Intelligence mission planner. A statement of the safety measures integrated in the drone and of our efforts to ensure field testing in conditions as close as possible to the challenge?s is also included.

More information

Item ID: 36814
DC Identifier: http://oa.upm.es/36814/
OAI Identifier: oai:oa.upm.es:36814
Official URL: http://www.aerialroboticscompetition.org/symposium2014.php
Deposited by: Memoria Investigacion
Deposited on: 24 Sep 2015 10:11
Last Modified: 18 Nov 2016 11:26
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