Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras (bibtex)

by H. Matsuki, L. von Stumberg, V. Usenko, J. Stueckler and D. Cremers

Reference:

Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras (H. Matsuki, L. von Stumberg, V. Usenko, J. Stueckler and D. Cremers), In IEEE Robotics and Automation Letters & Int. Conference on Intelligent Robots and Systems (IROS), IEEE, 2018. ([arxiv])

Bibtex Entry:

@article{matsuki2018_omnidso,
 title = {Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras},
 author = {H. Matsuki and L. von Stumberg and V. Usenko and J. Stueckler and D. Cremers},
 journal = {IEEE Robotics and Automation Letters & Int. Conference on Intelligent Robots and Systems (IROS)},
 booktitle = {Robotics and Automation Letters},
 publisher = {IEEE},
 year = {2018},
 keywords = {dso, vslam},
}

by H. Matsuki, L. von Stumberg, V. Usenko, J. Stueckler and D. Cremers

Reference:

Bibtex Entry:

@article{matsuki2018_omnidso,
 title = {Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras},
 author = {H. Matsuki and L. von Stumberg and V. Usenko and J. Stueckler and D. Cremers},
 journal = {IEEE Robotics and Automation Letters & Int. Conference on Intelligent Robots and Systems (IROS)},
 booktitle = {Robotics and Automation Letters},
 publisher = {IEEE},
 year = {2018},
 keywords = {dso, vslam},
}

Research Interests
Selected Projects

Lukas von Stumberg

PhD Student

Technical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Fax: +49-89-289-17757
Office:
Mail: stumberg@in.tum.de

Find me on Google Scholar Linkedin

Research Interests

My research interests are visual and visual-inertial SLAM, robotics, and 3D reconstruction. I like to apply both traditional methods and deep learning.

Selected Projects

GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization

Using our novel Gauss-Newton loss we improve the robustness of direct methods against strong illumination changes and bad initializations. This allows us to accurately relocalize between different weathers. Project Page

VI-DSO: Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization

In my Master thesis on direct visual-inertial odometry we demonstrate state-of-the-art performance on the EuRoC dataset. Project Page

From Monocular SLAM to Autonomous Drone Exploration

In my Bachelor thesis I have used LSD-SLAM to explore an unknown environment with an autonomous drone.

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