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

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 y Maravall Gomez-Allende, Darío (2014). A vision based aerial rbot solution for the IARC 2014 by the Technical University of Madrid. En: "International Aerial Robotics Competition Sixth Composium on Indoor", 6-8 Aug 2014, Yantai, China. pp. 1-12.

Descripción

Título: A vision based aerial rbot solution for the IARC 2014 by the Technical University of Madrid
Autor/es:
  • 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
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: International Aerial Robotics Competition Sixth Composium on Indoor
Fechas del Evento: 6-8 Aug 2014
Lugar del Evento: Yantai, China
Título del Libro: International Aerial Robotics Competition Sixth Composium on Indoor
Fecha: 2014
Materias:
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (281kB) | Vista Previa

Resumen

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.

Más información

ID de Registro: 36814
Identificador DC: http://oa.upm.es/36814/
Identificador OAI: oai:oa.upm.es:36814
URL Oficial: http://www.aerialroboticscompetition.org/symposium2014.php
Depositado por: Memoria Investigacion
Depositado el: 24 Sep 2015 10:11
Ultima Modificación: 18 Nov 2016 11:26
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM