Robust Odometry Estimation for RGB-D Cameras (bibtex)
by C. Kerl, J. Sturm and D. Cremers
Reference:
Robust Odometry Estimation for RGB-D Cameras (C. Kerl, J. Sturm and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2013. 
Bibtex Entry:
@string{icra="International Conference on Robotics and Automation (ICRA)"}
@inproceedings{kerl13icra,
 title = {Robust Odometry Estimation for RGB-D Cameras},
 author = {C. Kerl and J. Sturm and D. Cremers},
 booktitle = {International Conference on Robotics and Automation (ICRA)},
 year = {2013},
 month = {May},
 award = {Best Vision Paper Award - Finalist},
 keywords = {dense visual odometry,rgb-d,rgb-d benchmark,sturmselection,vo,vslam},
}
Powered by bibtexbrowser
Robust Odometry Estimation for RGB-D Cameras (bibtex)
Robust Odometry Estimation for RGB-D Cameras (bibtex)
by C. Kerl, J. Sturm and D. Cremers
Reference:
Robust Odometry Estimation for RGB-D Cameras (C. Kerl, J. Sturm and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2013. 
Bibtex Entry:
@string{icra="International Conference on Robotics and Automation (ICRA)"}
@inproceedings{kerl13icra,
 title = {Robust Odometry Estimation for RGB-D Cameras},
 author = {C. Kerl and J. Sturm and D. Cremers},
 booktitle = {International Conference on Robotics and Automation (ICRA)},
 year = {2013},
 month = {May},
 award = {Best Vision Paper Award - Finalist},
 keywords = {dense visual odometry,rgb-d,rgb-d benchmark,sturmselection,vo,vslam},
}
Powered by bibtexbrowser
members:sturmju

Table of Contents

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



Navigation

Selected Publications