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Autonomous landing of an unmanned helicopter based on vision and inertial sensing
2006 (English)In: Proceedings of the 9th International Symposium on Experimental Robotics / [ed] Marcelo H. Ang and Oussama Khatib, Springer, 2006, Vol. 21, 343-352Conference paper (Refereed)
Abstract [en]

In this paper we propose an autonomous precision landing method for an unmanned helicopter based on an on-board visual navigation system consisting of a single pan-tilting camera, off-the-shelf computer hardware and inertial sensors. Compared to existing methods, the system doesn't depend on additional sensors (in particular not on GPS), offers a wide envelope of starting points for the autonomous approach, and is robust to different weather conditions. Helicopter position and attitude is estimated from images of a specially designed landing pad. We provide results from both simulations and flight tests, showing the performance of the vision system and the overall quality of the landing. © Springer-Verlag Berlin/Heidelberg 2006.

Series
Springer Tracts in Advanced Robotics, ISSN 1610-7438 ; 21
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-50036 (URN)10.1007/11552246_33 (DOI)978-3-540-28816-9 (ISBN)oai:DiVA.org:liu-50036 (OAI)diva2:270932 (DiVA)
Available from2009-10-11 Created:2009-10-11 Last updated:2011-03-08Bibliographically approved
In thesis
1. Navigation Functionalities for an Autonomous UAV Helicopter
Open this publication in new window or tab >>Navigation Functionalities for an Autonomous UAV Helicopter
2007 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis was written during the WITAS UAV Project where one of the goals has been the development of a software/hardware architecture for an unmanned autonomous helicopter, in addition to autonomous functionalities required for complex mission scenarios. The algorithms developed here have been tested on an unmanned helicopter platform developed by Yamaha Motor Company called the RMAX. The character of the thesis is primarily experimental and it should be viewed as developing navigational functionality to support autonomous flight during complex real world mission scenarios. This task is multidisciplinary since it requires competence in aeronautics, computer science and electronics. The focus of the thesis has been on the development of a control method to enable the helicopter to follow 3D paths. Additionally, a helicopter simulation tool has been developed in order to test the control system before flight-tests. The thesis also presents an implementation and experimental evaluation of a sensor fusion technique based on a Kalman filter applied to a vision based autonomous landing problem. Extensive experimental flight-test results are presented.

Publisher, range
Linköping: Linköping University Electronic Press, 2007. 74 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1307
Keyword
Unmanned Aerial Vehicle, Control System, Path Following, Path Planning, Sensor Fusion, Vision Based Landing, Kalman Filter, Real-Time
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-21966 (URN)LiU-Tek-Lic-2007:16 (Local ID)978-91-85715-35-0 (ISBN)LiU-Tek-Lic-2007:16 (Archive number)LiU-Tek-Lic-2007:16 (OAI)
Presentation
2007-03-30, Alan Turing, hus E, Campus Valla, Linköpings universitet, Linköping, 13:15 (English)
Opponent
Supervisors
Available from2009-10-15 Created:2009-10-07 Last updated:2009-10-16Bibliographically approved

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Merz, TorstenDuranti, SimoneConte, Gianpaolo
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