Vision-based localization, mapping and control for autonomous MAV: EuRoC challenge results - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Vision-based localization, mapping and control for autonomous MAV: EuRoC challenge results

Résumé

This paper presents vision-based localization, mapping and control solutions for autonomous navigation of a micro-air vehicle (MAV) in GPS-denied environments. The proposed algorithms have been evaluated in the simulation contest of the FP7 project EuRoC (European Robotics Challenges) dedicated to " Plant Servicing and Inspection " , where our team composed of members from ONERA and ISIR-UPMC ranked 2nd over 21 European research laboratories and has been selected for the next stages of the project.
Fichier principal
Vignette du fichier
2015 - ODAS - Vision-based localization mapping and control for autonomous MAV - EuRoC challenge results.pdf (2.68 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01178916 , version 1 (21-07-2015)

Identifiants

  • HAL Id : hal-01178916 , version 1

Citer

Julien Marzat, Julien Moras, Aurélien Plyer, Alexandre Eudes, Pascal Morin. Vision-based localization, mapping and control for autonomous MAV: EuRoC challenge results. 15th ONERA-DLR Aerospace Symposium (ODAS 2015), May 2015, Toulouse, France. ⟨hal-01178916⟩
271 Consultations
568 Téléchargements

Partager

Gmail Facebook X LinkedIn More