Reference : Visual Attitude Estimation for Low-Cost Personal Remote Sensing Systems
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/17301
Visual Attitude Estimation for Low-Cost Personal Remote Sensing Systems
English
Fromm, Tobias [Jacobs University, Bremen, Germany]
Di, Long [Utah State University, USA > CSOIS]
Chen, Yangquan [University of California, Merced > School of Engineering]
Voos, Holger mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
29-Aug-2011
7th International ASME/IEEE Conference on Mechatronics & Embedded Systems & Applications MESA 2011, Washington 28-31 August 2011
ASME
Vol. 3
901-908
Yes
No
International
978-0-7918-5480-8
7th International ASME/IEEE Conference on Mechatronics & Embedded Systems & Applications MESA 2011
August 28–31, 2011
Washington
DC
[en] Visual Attitute Estimation ; UAVs ; Computer Vision
[en] Remote Sensing using unmanned aerial vehicles (UAV) is gathering a lot of attention at the moment by researchers and developers, especially in terms of low-cost aircrafts which still maintain sufficient accuracy and performance. This paper introduces a low-cost approach to increase airworthiness by using a forward-looking camera to estimate the attitude of a UAV. It not only focuses on using machine learning to classify ground and sky, but also uses image processing and software engineering methods to make it fault-tolerant and really applicable on a miniature UAV. Additionally, it is able to interface with an autopilot framework to being used productively on flight missions.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/17301
10.1115/DETC2011-47742

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