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- Info
Andreas Kuhner
About me
- 10/2010 - 09/2012: Bachelor of Science in Computer Science, University of Freiburg
- 10/2012 - 01/2015: Master of Science in Computer Science, University of Freiburg
- 02/2015 - up to now: Working at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard as a PhD student
Research Interests
- Robot localization
- Robot mapping
- Motion Capture Analysis
- Human Motion
Current Research Projects
Teaching
Publications
Conference Papers
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Andreas Kuhner, Tobias Schubert, Massimo Cenciarini, Christoph Maurer, Wolfram Burgard
A Probabilistic Approach Based on Random Forests to Estimating
Similarity of Human Motion in the Context of Parkinson’s Disease
Proceedings of the International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, 2016
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BibTeX
@inproceedings{suger16iros,
author = {Andreas Kuhner and Tobias Schubert and Massimo Cenciarini and Christoph Maurer and Wolfram Burgard},
title = {A Probabilistic Approach Based on Random Forests to Estimating
Similarity of Human Motion in the Context of Parkinson~@~Ys Disease},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2016},
address = {Daejeon, Korea},
url = {http://ais.informatik.uni-freiburg.de/publications/papers/kuhner16iros.pdf}
}
Thesis
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Andreas Kuhner
Matching Occupancy Gridmaps and CAD-Floorplans for Mobile Robot Navigation
Master's Thesis, University of Freiburg, Autonomous Intelligent Systems Group, 2015
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BibTeX
@MASTERSTHESIS{kuhnera15thesis,
author = {Andreas Kuhner},
title = {Matching Occupancy Gridmaps and CAD-Floorplans for Mobile Robot Navigation},
school = {University of Freiburg, Department of Computer Science, Autonomous Intelligent Systems Group},
year = {2015},
type = {Master's Thesis},
month = jan,
abstract = {Gridmaps are hard to read for amateurs. However, floorplans provide a lot of additional information and improve the capability of an operator to instruct and
monitor a robot. This thesis is about a mapping approach which transforms a point from the floorplan to a point on the gridmap. The first approach computes a
global transformation, while the second one combines multiple transformations into a single one. The other two approaches base on a Gaussian process. The
contributions of this work are multiple approaches to match a gridmap with a floorplan which provides the operator an opportunity to use a more intuitive
CAD-map. We evaluate the different approaches on multiple data sets and show promising results.}
}
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