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CORR
2012
Springer

MAV Stabilization using Machine Learning and Onboard Sensors

8 years 5 months ago
MAV Stabilization using Machine Learning and Onboard Sensors
In many situations, Miniature Aerial Vehicles (MAVs) are limited to using only on-board sensors for navigation. This limits the data available to algorithms used for stabilization and localization, and current control methods are often insufficient to allow reliable hovering in place or trajectory following. In this research, we explore using machine learning to predict the drift (flight path errors) of an MAV while executing a desired flight path. This predicted drift will allow the MAV to adjust it’s flightpath to maintain a desired course.
Jason Yosinski, Cooper Bills
Added 20 Apr 2012
Updated 20 Apr 2012
Type Journal
Year 2012
Where CORR
Authors Jason Yosinski, Cooper Bills
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