[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.
Disciplines :
Computer science
Author, co-author :
Olivares Mendez, Miguel Angel ; 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
Language :
English
Title :
Quadcopter see and avoid using a fuzzy controller
Publication date :
August 2012
Main work title :
Uncertainty modeling in knowlege engineering and decision making : proceedings of the 10th International FLINS Conference
Publisher :
World Scientific, Istanbul, Turkey, Unknown/unspecified