From Monocular SLAM to Autonomous Drone Exploration (bibtex)
by L. von Stumberg, V. Usenko, J. Engel, J. Stueckler and D. Cremers
Reference:
From Monocular SLAM to Autonomous Drone Exploration (L. von Stumberg, V. Usenko, J. Engel, J. Stueckler and D. Cremers), In European Conference on Mobile Robots (ECMR), 2017. ([arXiv])
Bibtex Entry:
@inproceedings{stumberg16exploration,
 author = {L. von Stumberg and V. Usenko and J. Engel and J. Stueckler and D. Cremers},
 title = {From Monocular {SLAM} to Autonomous Drone Exploration},
 booktitle = {European Conference on Mobile Robots (ECMR)},
 arxiv = {arXiv:1609.07835},
 year = {2017},
 month = {September},
 keywords = {vslam},
}
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From Monocular SLAM to Autonomous Drone Exploration (bibtex)
From Monocular SLAM to Autonomous Drone Exploration (bibtex)
by L. von Stumberg, V. Usenko, J. Engel, J. Stueckler and D. Cremers
Reference:
From Monocular SLAM to Autonomous Drone Exploration (L. von Stumberg, V. Usenko, J. Engel, J. Stueckler and D. Cremers), In European Conference on Mobile Robots (ECMR), 2017. ([arXiv])
Bibtex Entry:
@inproceedings{stumberg16exploration,
 author = {L. von Stumberg and V. Usenko and J. Engel and J. Stueckler and D. Cremers},
 title = {From Monocular {SLAM} to Autonomous Drone Exploration},
 booktitle = {European Conference on Mobile Robots (ECMR)},
 arxiv = {arXiv:1609.07835},
 year = {2017},
 month = {September},
 keywords = {vslam},
}
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members:stumberg

Table of Contents

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.