Reference : Quadcopter see and avoid using a fuzzy controller
Parts of books : Contribution to collective works
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/19737
Quadcopter see and avoid using a fuzzy controller
English
Olivares Mendez, Miguel Angel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Mejias, Luis [Queensland University of Technology, Brisbane, Australia > Australian Research Centre for Aerospace Automation (ARCAA)]
Campoy, Pascual [Universidad Politecnica de Madrid. Computer Vision Group]
Mellado-Bataller, Ignacio [Universidad Politecnica de Madrid. Computer Vision Group]
Aug-2012
Uncertainty modeling in knowlege engineering and decision making : proceedings of the 10th International FLINS Conference
World Scientific
Yes
Istanbul, Turkey
[en] Fuzzy Systems ; UAV ; UAS ; Visual Control
[en] Unmanned Aerial Vehicles (UAVs) industry is a fast growing sector. Nowadays, the market offers numerous possibilities for off-the-shelf UAVs such as quadrotors or fixed-wings. Until UAVs demonstrate advance capabilities such as autonomous collision avoidance they will be segregated and restricted to flight in controlled environments. This work presents a visual fuzzy servoing system for obstacle avoidance using UAVs. To accomplish this task we used the visual information from the front camera. Images are processed off-board and the result send to the Fuzzy Logic controller which then send commands to modify the orientation of the aircraft. Results from flight test are presented with a commercial off-the-shelf platform.
http://hdl.handle.net/10993/19737
http://eprints.qut.edu.au/50749/

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