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UAS See-and-Avoid using two different approaches of Fuzzy Control

Publication
Congresses name: 

2012 International Conference on Unmanned Aircraft Systems (ICUAS'12)

Place: 

Philadelphia, PA, USA

Date: 
June 12-15, 2012

 Abstract—This work presents two UAS See and Avoid approaches using Fuzzy Control. We compare the performance of each controller when a Cross-Entropy method is applied to optimase the parameters for one of the controllers. Each controller receive information from an image processing frontend that detect and track targets in the environment. Visual information is then used under a visual servoing approach to perform autonomous avoidance. Experimental flight trials using a small quadrotor were performed to validate and compare the behaviour of both controllers.

More info could be found at http://www.vision4uav.eu/?q=researchline/SeeAndAvoidCE