Probabilistisches Belegtheitsfilter zur Schätzung dynamischer Umgebungen unter Verwendung multipler Bewegungsmodelle. - Sebastian Brechtel; Tobias Gindele; Jan Vogelgesang; Rüdiger Dillmann (AMS, 2009)

Recursive importance sampling for efficient grid-based occupancy filtering in dynamic environments. - Sebastian Brechtel; Tobias Gindele; Rüdiger Dillmann (ICRA, 2010)

A probabilistic model for estimating driver behaviors and vehicle trajectories in traffic environments. - Tobias Gindele; Sebastian Brechtel; Rüdiger Dillmann (ITSC, 2010)

Probabilistic MDP-behavior planning for cars. - Sebastian Brechtel; Tobias Gindele; Rüdiger Dillmann (ITSC, 2011)

Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation. - Sebastian Brechtel; Tobias Gindele; Rüdiger Dillmann (ICML (3), 2013)

Learning context sensitive behavior models from observations for predicting traffic situations. - Tobias Gindele; Sebastian Brechtel; Rüdiger Dillmann (ITSC, 2013)

Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs. - Sebastian Brechtel; Tobias Gindele; Rüdiger Dillmann (ITSC, 2014)

Learning Driver Behavior Models from Traffic Observations for Decision Making and Planning. - Tobias Gindele; Sebastian Brechtel; Rüdiger Dillmann (IEEE Intell. Transp. Syst. Mag., 2015)

Dynamic Decision-making in Continuous Partially Observable Domains: A Novel Method and its Application for Autonomous Driving. - Sebastian Brechtel (2015)