Abstract
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Unmanned Aerial Vehicles (UAVs) are fast growing sector. Nowadays, the mar- ket oers numerous possibilities for o-the-shelf UAVs such as quadrotors. Until UAVs demonstrate advance capabilities such as autonomous collision they will be segregated and restricted to ight 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 only. This image is processed o-board and the information is send to the Fuzzy Logic controller which then send commands to modify the orientation of the aircraft. Results from ight test are presented with a commercial o-the-shelf platform | |
International
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Si |
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10.1142/9789814417747_0199 |
Book Edition
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Book Publishing
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World Scientific |
ISBN
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978-981-4417-73-0 |
Series
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World Scientific Proceedings Series on Computer Engineering and Information Science |
Book title
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Uncertainty Modeling in Knowledge Engineering and Decision Making |
From page
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1239 |
To page
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1244 |