Welcome to uavster's project portfolio (filtered)

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Autonomous LinkQuad quadcopter with Computer Vision
MAVwork, my open-source framework for visual control of multirotors, is now supporting a new quadcopter from UAS Technologies Sweden. Everything was tested with a speed control application. Watch a semiautonomous flight of this new elegant drone.
Autonomous Pelican quadcopter with Computer Vision
Check how the versatile Pelican from Ascending Technologies acquired basic automatic take-off, hover and landing capabilities thanks to MAVwork, the open-source framework for drone control. Watch the open MultirotorController4mavwork in action.
Camera localization with visual markers
There are tons of applications where it is key to have the accurate location of things in a workspace. With these cheap and easy-to-build visual markers, you can know the position and attitude of anything with a camera on it. They block less visual space and offer less air resistance than equivalent-size 2D codes.
MAVwork released for Parrot AR.Drone
MAVwork is a framework for drone control that was born in 2011 during a short research stay in the Australian Research Centre for Aerospace Automation (ARCAA). Read about the inception of MAVwork and watch a video of the first test controller for a Parrot AR.Drone with a Vicon system.
Laura: Self-driving public transportation. Prototype I.
High buildings blocking GPS signal, lane markings and road signs hidden by traffic, ... Cities can be a very harsh environment for a driverless bus trying to know where it is and where to go. In this project, led by Siemens, I explored a solution with Computer Vision.