Lecture Notes: Visual Navigation for Flying Robots (bibtex)
by J. Sturm
Reference:
Lecture Notes: Visual Navigation for Flying Robots (J. Sturm), Technische Universität München, Germany, 2012. 
Bibtex Entry:
@misc{sturm12lecturenotes,
 author = {J. Sturm},
 title = {{Lecture Notes: Visual Navigation for Flying Robots}},
 howpublished = {Technische Universit\"at M\"unchen, Germany},
 year = {2012},
 month = {June},
 keywords = {quadrocopter,sturmselection,vslam},
 award = {Distinguished with the TUM TeachInf Award for the best lecture in summer term 2012},
}
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Lecture Notes: Visual Navigation for Flying Robots (bibtex)
Lecture Notes: Visual Navigation for Flying Robots (bibtex)
by J. Sturm
Reference:
Lecture Notes: Visual Navigation for Flying Robots (J. Sturm), Technische Universität München, Germany, 2012. 
Bibtex Entry:
@misc{sturm12lecturenotes,
 author = {J. Sturm},
 title = {{Lecture Notes: Visual Navigation for Flying Robots}},
 howpublished = {Technische Universit\"at M\"unchen, Germany},
 year = {2012},
 month = {June},
 keywords = {quadrocopter,sturmselection,vslam},
 award = {Distinguished with the TUM TeachInf Award for the best lecture in summer term 2012},
}
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You're viewing the old homepage. The new homepage of Jürgen Sturm is located here: http://jsturm.de.

I am fascinated by the immense progress and application potential of computer vision and robotics research. My motivation is to push the state-of-the-art by developing novel approaches and applying these methods to solve real-world problems. For example, our approach to autonomous quadrocopter flight enables a low-cost quadrocopter to follow its trajectory using a camera as its main sensor while taking a series of images. Our 3D reconstruction algorithm allows to scan persons in 3D and print the acquired model as a small figure. As I see a large potential for commercial applications of such methods, I recently co-founded the university spin-off FabliTec to bring this technology to market.

I am currently working in the following research areas:

RGB-D sensors (Kinect) including visual odometry, SLAM, dense 3D reconstruction, mapping, localization, pose tracking and benchmarking
Quadcopter, including camera-based localization, dense mapping, data fusion, safe navigation and, when all of this works, flying manipulation



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