Vision-based localization, mapping and control for autonomous MAV: EuRoC challenge resultsReport as inadecuate




Vision-based localization, mapping and control for autonomous MAV: EuRoC challenge results - Download this document for free, or read online. Document in PDF available to download.

1 Palaiseau - ONERA - The French Aerospace Lab 2 ISIR - Institut des Systèmes Intelligents et de Robotique

Abstract : 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.





Author: Julien Marzat - Julien Moras - Aurélien Plyer - Alexandre Eudes - Pascal Morin -

Source: https://hal.archives-ouvertes.fr/



DOWNLOAD PDF




Related documents