Neural Architecture for Temporal Emotion Classification. - Roland Schweiger; Pierre Bayerl; Heiko Neumann (ADS, 2004)

Multisensor Vehicle Tracking with the Probability Hypothesis Density Filter. - Mirko Mählisch; Roland Schweiger; Werner Ritter; Klaus Dietmayer (FUSION, 2006)

Analysis and assessment of far infrared sensor performance parameters and their impact on pedestrian detection. - Stefan Franz; Roland Schweiger; Otto Löhlein; Kristian Kroschel (ITSC, 2010)

Training of Sparsely Connected MLPs. - Markus Thom; Roland Schweiger; Günther Palm (DAGM-Symposium, 2011)

Supervised Matrix Factorization with sparseness constraints and fast inference. - Markus Thom; Roland Schweiger; Günther Palm (IJCNN, 2011)

Development and evaluation of a performance metric for image-based driver assistance systems. - Kip Smith; Roland Schweiger; Werner Ritter; Jan-Erik Källhammer (Intelligent Vehicles Symposium, 2011)

Video and disparity compression for automotive stereo vision algorithms. - Julian Forster; Raimar Wagner; Juergen Wuenschmann; Roland Schweiger; Anestis Terzis; Albrecht Rothermel (ICCE-Berlin, 2012)

Feature selection for automotive object detection tasks - A study. - Michael Gabb; Raimar Wagner; Markus Gressmann; Oliver Hartmann; Otto Löhlein; Roland Schweiger; Klaus Dietmayer (ICCE-Berlin, 2012)

Improving detector performance by learning from compressed samples. - Raimar Wagner; Michael Gabb; Julian Forster; Roland Schweiger; Albrecht Rothermel (ICCE-Berlin, 2012)

Mono-camera based pitch rate estimation in nighttime scenarios. - Florian Schüle; Roland Schweiger; Oliver Hartmann; Klaus Dietmayer (Intelligent Vehicles Symposium, 2012)

Influence of image compression on cascade classifier components. - Raimar Wagner; Markus Thom; Roland Schweiger; Michael Gabb; Amrei Röhlig; Albrecht Rothermel (SISY, 2012)

Image compression with discriminative dictionaries. - Raimar Wagner; Markus Thom; Michael Gabb; Christian Feller; Roland Schweiger; Albrecht Rothermel (ICCE-Berlin, 2013)

Learning convolutional neural networks from few samples. - Raimar Wagner; Markus Thom; Roland Schweiger; Günther Palm; Albrecht Rothermel (IJCNN, 2013)

Probabilistic fusion of rural road course estimations. - Florian Schüle; Christian Koch; Oliver Hartmann; Roland Schweiger; Klaus Dietmayer (ITSC, 2013)

Night time road curvature estimation based on Convolutional Neural Networks. - Oliver Hartmann; Roland Schweiger; Raimar Wagner; Florian Schüle; Michael Gabb; Klaus Dietmayer (Intelligent Vehicles Symposium, 2013)

Augmenting night vision video images with longer distance road course information. - Florian Schüle; Roland Schweiger; Klaus Dietmayer (Intelligent Vehicles Symposium, 2013)

Convolutional Neural Networks for night-time animal orientation estimation. - Raimar Wagner; Markus Thom; Michael Gabb; Matthias Limmer; Roland Schweiger; Albrecht Rothermel (Intelligent Vehicles Symposium, 2013)

Robust and real-time multi-cue map verification for the road ahead. - Oliver Hartmann; Michael Gabb; Florian Schüle; Roland Schweiger; Klaus Dietmayer (ITSC, 2014)

Feature evaluation of factorized self-localization. - Florian Schüle; Florian Buchner; Roland Schweiger; Klaus Dietmayer (ITSC, 2014)

Towards autonomous self-assessment of digital maps. - Oliver Hartmann; Michael Gabb; Roland Schweiger; Klaus Dietmayer (Intelligent Vehicles Symposium, 2014)

Night-vision stereo grid mapping for digital map localization. - Florian Schüle; Marc Steven Krämer; Roland Schweiger; Klaus-Dieter Kuhnert; Klaus Dietmayer (Intelligent Vehicles Symposium, 2014)

Robust Deep-Learning-Based Road-Prediction for Augmented Reality Navigation Systems at Night. - Matthias Limmer; Julian Forster; Dennis Baudach; Florian Schüle; Roland Schweiger; Hendrik P. A. Lensch (ITSC, 2016)

Robust Deep-Learning-Based Road-Prediction for Augmented Reality Navigation Systems. - Matthias Limmer; Julian Forster; Dennis Baudach; Florian Schüle; Roland Schweiger; Hendrik P. A. Lensch (CoRR, 2016)