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2010 – 2019
- 2019
[j1]Arne Niitsoo
, Thorsten Edelhäußer, Ernst Eberlein, Niels Hadaschik, Christopher Mutschler:
A Deep Learning Approach to Position Estimation from Channel Impulse Responses. Sensors 19(5): 1064 (2019)- [i1]Leonid Butyrev, Thorsten Edelhäußer, Christopher Mutschler:
Deep Reinforcement Learning for Motion Planning of Mobile Robots. CoRR abs/1912.09260 (2019) - 2018
- [c5]Arne Niitsoo, Thorsten Edelhäußer, Christopher Mutschler:
Convolutional Neural Networks for Position Estimation in TDoA-Based Locating Systems. IPIN 2018: 1-8 - [c4]Tobias Feigl, Thorsten Nowak, Michael Philippsen, Thorsten Edelhäußer, Christopher Mutschler:
Recurrent Neural Networks on Drifting Time-of-Flight Measurements. IPIN 2018: 206-212 - 2014
- [c3]Christopher Mutschler, Christoffer Löffler, Nicolas Witt, Thorsten Edelhäußer, Michael Philippsen:
Predictive load management in smart grid environments. DEBS 2014: 282-287 - 2012
- [b1]Thorsten Edelhäußer:
Dynamische probabilistische Bewegungsmodelle mittels Verhaltensmodellierung. University of Erlangen-Nuremberg, Shaker 2012, ISBN 978-3-8440-1094-7, pp. 1-203 - 2010
- [c2]Thorsten Edelhäußer, Mateusz Janiak, Gabriella Kókai:
Environment-based measurement planning for autonomous RTLS configuration. AHS 2010: 289-296
2000 – 2009
- 2009
- [c1]Thorsten Edelhäußer, Gabriella Kókai:
Autonomous Configuration Method for Real-Time Location Systems. AHS 2009: 265-272
Coauthor Index
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