Mark Eilers, Claus Möbus, Discriminative Learning of Relevant Percepts for a Bayesian Autonomous Driver Model, ThinkMind // COGNITIVE 2014, The Sixth International Conference on Advanced Cognitive Technologies and Applications, 19-25, May 25, 2014, Venice, Italy, IARIA, 2014, ISSN: 2308-4197, ISBN: 978-1-61208-340-7; Best Paper Award; www.iaria.org/conferences2014/AwardsCOGNITIVE14.html

EILERS, M. & MÖBUS, C., Learning of a Bayesian Autonomous Driver Mixture-of-Behaviors (BAD-MoB) Model, in: Vincent G. Duffy (ed), Advances in Applied Digital Human Modeling, p. 436-445, CRC Press, Taylor & Francis Group, Boca Raton, 2011, ISBN 978-1-4398-3511-1, PDF

EILERS, M. & MÖBUS, C., Learning the Relevant Percepts of Modular Hierarchical Bayesian Driver Models Using a Bayesian Information Criterion, in: V.G. Duffy (Ed.): Digital Human Modeling, LNCS 6777, pp. 463--472, 2011, Springer, Heidelberg 2011, DOI: 10.1007/978-3-642-21799-9_52, ISBN 978-3-642-21798-2, PDF