TUM Flyers: Vision—Based MAV Navigation for Systematic Inspection of Structures (bibtex)

by V. Usenko, L. von Stumberg, J. Stückler and D. Cremers

Reference:

TUM Flyers: Vision—Based MAV Navigation for Systematic Inspection of Structures (V. Usenko, L. von Stumberg, J. Stückler and D. Cremers), Chapter in Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users (F. Caccavale, C. Ott, B. Winkler, Z. Taylor, eds.), Springer International Publishing, 2020.

Bibtex Entry:

@inbook{usenko2020_tumflyers,
 author = {V. Usenko and L. von Stumberg and J. Stückler and D. Cremers},
 editor = {F. Caccavale and C. Ott and B. Winkler and Z. Taylor},
 title = {TUM Flyers: Vision---Based MAV Navigation for Systematic Inspection of Structures},
 chapter = {Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users},
 year = {2020},
 publisher = {Springer International Publishing},
 address = {Cham},
 pages = {189--209},
 isbn = {978-3-030-34507-5},
 doi = {10.1007/978-3-030-34507-5_8},
 keywords = {vo, vio, vslam},
}

by V. Usenko, L. von Stumberg, J. Stückler and D. Cremers

Reference:

Bibtex Entry:

@inbook{usenko2020_tumflyers,
 author = {V. Usenko and L. von Stumberg and J. Stückler and D. Cremers},
 editor = {F. Caccavale and C. Ott and B. Winkler and Z. Taylor},
 title = {TUM Flyers: Vision---Based MAV Navigation for Systematic Inspection of Structures},
 chapter = {Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users},
 year = {2020},
 publisher = {Springer International Publishing},
 address = {Cham},
 pages = {189--209},
 isbn = {978-3-030-34507-5},
 doi = {10.1007/978-3-030-34507-5_8},
 keywords = {vo, vio, 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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