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.
Domaines
Automatique / Robotique
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2015 - ODAS - Vision-based localization mapping and control for autonomous MAV - EuRoC challenge results.pdf (2.68 Mo)
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