A Ground-Truth Video Dataset for the Development and Evaluation of Vision-based Sense-and-Avoid systems

Carrio Fernández, Adrián; Fu, Changhong; Pestana Puerta, Jesús y Campoy Cervera, Pascual (2014). A Ground-Truth Video Dataset for the Development and Evaluation of Vision-based Sense-and-Avoid systems. En: "A Ground-Truth Video Dataset for the Development and Evaluation of Vision-based Sense-and-Avoid systems", 27 - 30 May 2014, Orlando, FL, USA. ISBN 978-1-4799-2376-2. pp. 441-446.

Descripción

Título: A Ground-Truth Video Dataset for the Development and Evaluation of Vision-based Sense-and-Avoid systems
Autor/es:
  • Carrio Fernández, Adrián
  • Fu, Changhong
  • Pestana Puerta, Jesús
  • Campoy Cervera, Pascual
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: A Ground-Truth Video Dataset for the Development and Evaluation of Vision-based Sense-and-Avoid systems
Fechas del Evento: 27 - 30 May 2014
Lugar del Evento: Orlando, FL, USA
Título del Libro: 2014 International Conference on Unmanned Aircraft Systems (ICUAS)
Fecha: 2014
ISBN: 978-1-4799-2376-2
Materias:
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Grupo Investigación UPM: Computer Vision CVG
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The importance of vision-based systems for Sense-and-Avoid is increasing nowadays as remotely piloted and autonomous UAVs become part of the non-segregated airspace. The development and evaluation of these systems demand flight scenario images which are expensive and risky to obtain. Currently Augmented Reality techniques allow the compositing of real flight scenario images with 3D aircraft models to produce useful realistic images for system development and benchmarking purposes at a much lower cost and risk. With the techniques presented in this paper, 3D aircraft models are positioned firstly in a simulated 3D scene with controlled illumination and rendering parameters. Realistic simulated images are then obtained using an image processing algorithm which fuses the images obtained from the 3D scene with images from real UAV flights taking into account on board camera vibrations. Since the intruder and camera poses are user-defined, ground truth data is available. These ground truth annotations allow to develop and quantitatively evaluate aircraft detection and tracking algorithms. This paper presents the software developed to create a public dataset of 24 videos together with their annotations and some tracking application results.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaDPI2010-20751-C02-0CICYTSin especificarSin especificar
Gobierno de EspañaTSI-020100-2011-363Sin especificarSin especificarE-Vision Project

Más información

ID de Registro: 37648
Identificador DC: http://oa.upm.es/37648/
Identificador OAI: oai:oa.upm.es:37648
Depositado por: Memoria Investigacion
Depositado el: 14 Sep 2015 18:43
Ultima Modificación: 06 Jun 2016 15:00
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