Vision-Based Window Estimation for MAV in Unknown Urban Environments - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Vision-Based Window Estimation for MAV in Unknown Urban Environments

Résumé

This paper addresses the issue of window estimation of a micro Air Vehicle (MAV) in unknown urban environments. The MAV is required to navigate from an initial and outdoor position to a final position inside a building. This paper develops two vision-based methods using the information provided by the onboard vision system. To effectively identify the target and estimate the distance between the camera carrier and target, firstly a stereo camera system is applied. Besides, we propose another approach using point cloud captured by a RGB-D camera.

Domaines

Automatique
Fichier non déposé

Dates et versions

hal-00939220 , version 1 (30-01-2014)

Identifiants

  • HAL Id : hal-00939220 , version 1

Citer

Shuting Zhou, Gerardo Ramon Flores Colunga, Rogelio Lozano, Pedro Castillo. Vision-Based Window Estimation for MAV in Unknown Urban Environments. 2nd IFAC Workshop on Research, Education and Development of Unmanned Aerial Systems (RED UAS 2013), Nov 2013, Compiègne, France. pp.107 - 111. ⟨hal-00939220⟩
58 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More