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Visual Navigation for the Parrot AR.Drone (ROS Package)

The tum_ardrone Robot Operating System (ROS) package allows to let the Parrot AR.Drone fly autonomously, using PTAM-based, visual navigation. The package repository is currently maintained by Jakob Engel. The documentation and repository can be found on the ROS wiki pages: http://www.ros.org/wiki/tum_ardrone.

The methods used are detailed further in the corresponding publications:
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Journal Articles
2014
[]Scale-Aware Navigation of a Low-Cost Quadrocopter with a Monocular Camera (J. Engel, J. Sturm and D. Cremers), In Robotics and Autonomous Systems (RAS), volume 62, 2014.  [bibtex] [pdf]
Conference and Workshop Papers
2012
[]Accurate Figure Flying with a Quadrocopter Using Onboard Visual and Inertial Sensing (J. Engel, J. Sturm and D. Cremers), In Proc. of the Workshop on Visual Control of Mobile Robots (ViCoMoR) at the IEEE/RJS International Conference on Intelligent Robot Systems (IROS), 2012.  [bibtex] [pdf]
[]Camera-Based Navigation of a Low-Cost Quadrocopter (J. Engel, J. Sturm and D. Cremers), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2012.  [bibtex] [pdf] [video]
Other Publications
2011
[]Autonomous Camera-Based Navigation of a Quadrocopter (J. Engel), Master's thesis, Technical University Munich, 2011.  [bibtex] [pdf]Distinguished with the SIEMENS award for best Master's Thesis 2012
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News

03.04.2022

In April 2022 Jürgen Sturm, Christian Kerl and Daniel Cremers were featured among the top 10 most influential scholars in robotics of the last decade.

31.03.2022

We have open PhD and postdoc positions! To apply, please use our application form.

08.03.2022

We have six papers accepted to CVPR 2022 in New Orleans!

31.01.2022

We have two papers accepted to ICRA 2022 - congrats to Lukas von Stumberg, Qing Cheng and Niclas Zeller!

05.12.2021
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