Autonomous Configuration Method for Real-Time Location Systems. - Thorsten Edelhäußer; Gabriella Kókai (AHS, 2009)

Environment-based measurement planning for autonomous RTLS configuration. - Thorsten Edelhäußer; Mateusz Janiak; Gabriella Kókai (AHS, 2010)

Dynamische probabilistische Bewegungsmodelle mittels Verhaltensmodellierung. - Thorsten Edelhäußer (Shaker, 2012)

Predictive load management in smart grid environments. - Christopher Mutschler; Christoffer Löffler; Nicolas Witt; Thorsten Edelhäußer; Michael Philippsen (DEBS, 2014)

Recurrent Neural Networks on Drifting Time-of-Flight Measurements. - Tobias Feigl; Thorsten Nowak; Michael Philippsen; Thorsten Edelhäußer; Christopher Mutschler (IPIN, 2018)

Convolutional Neural Networks for Position Estimation in TDoA-Based Locating Systems. - Arne Niitsoo; Thorsten Edelhäußer; Christopher Mutschler (IPIN, 2018)

Deep Reinforcement Learning for Motion Planning of Mobile Robots. - Leonid Butyrev; Thorsten Edelhäußer; Christopher Mutschler (CoRR, 2019)

A Deep Learning Approach to Position Estimation from Channel Impulse Responses. - Arne Niitsoo; Thorsten Edelhäußer; Ernst Eberlein; Niels Hadaschik; Christopher Mutschler (Sensors, 2019)