A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems. - Daniel Meyer-Delius; Christian Plagemann; Georg von Wichert; Wendelin Feiten; Gisbert Lawitzky; Wolfram Burgard (GfKl, 2007)

Probabilistic situation recognition for vehicular traffic scenarios. - Daniel Meyer-Delius; Christian Plagemann; Wolfram Burgard (ICRA, 2009)

Regression-based online situation recognition for vehicular traffic scenarios. - Daniel Meyer-Delius; Jürgen Sturm; Wolfram Burgard (IROS, 2009)

Temporary maps for robust localization in semi-static environments. - Daniel Meyer-Delius; Jürgen Hess 001; Giorgio Grisetti; Wolfram Burgard (IROS, 2010)

Maximum-likelihood sample-based maps for mobile robots. - Daniel Meyer-Delius; Wolfram Burgard (Robotics Auton. Syst., 2010)

Using artificial landmarks to reduce the ambiguity in the environment of a mobile robot. - Daniel Meyer-Delius; Maximilian Beinhofer; Alexander Kleiner; Wolfram Burgard (ICRA, 2011)

ARMO: Adaptive road map optimization for large robot teams. - Alexander Kleiner; Dali Sun; Daniel Meyer-Delius (IROS, 2011)

Probabilistic modeling of dynamic environments for mobile robots (Wahrscheinlichkeitstheoretische Modellierung dynamischer Umgebungen für mobile Roboter) - Daniel Meyer-Delius (2011)

Occupancy Grid Models for Robot Mapping in Changing Environments. - Daniel Meyer-Delius; Maximilian Beinhofer; Wolfram Burgard (AAAI, 2012)

Range-Based People Detection and Tracking for Socially Enabled Service Robots. - Kai Oliver Arras; Boris Lau; Slawomir Grzonka; Matthias Luber; Óscar Martínez Mozos; Daniel Meyer-Delius; Wolfram Burgard (Towards Service Robots for Everyday Environments, 2012)

Probabilistic time-dependent models for mobile robot path planning in changing environments. - Stefan Loibl; Daniel Meyer-Delius; Patrick Pfaff (ICRA, 2013)

Lifelong localization in changing environments. - Gian Diego Tipaldi; Daniel Meyer-Delius; Wolfram Burgard (Int. J. Robotics Res., 2013)