@incollection{MeuterMuellerMuellerSchneidersetal.2007, author = {Meuter, Mirko and M{\"u}ller, Dennis and M{\"u}ller-Schneiders, Stefan and Iurgel, Uri and Park, Su-Birm and Kummert, Anton}, title = {Pedestrian Tracking from a Moving Host Using Corner Points}, series = {Advances in visual computing: Third international symposium ; proceedings}, volume = {Lecture notes in computer science, 4841}, booktitle = {Advances in visual computing: Third international symposium ; proceedings}, editor = {Bebis, George}, publisher = {Springer}, address = {Berlin; Heidelberg; New York}, isbn = {978-3-540-76855-5}, doi = {10.1007/978-3-540-76856-2_36}, pages = {367 -- 376}, year = {2007}, language = {en} } @inproceedings{MuellerMeuterPark2008, author = {M{\"u}ller, Dennis and Meuter, Mirko and Park, Su-Birm}, title = {Motion segmentation using interest points}, series = {2008 IEEE Intelligent Vehicles Symposium}, booktitle = {2008 IEEE Intelligent Vehicles Symposium}, publisher = {IEEE}, isbn = {978-1-4244-2568-6}, doi = {10.1109/IVS.2008.4621239}, pages = {19 -- 24}, year = {2008}, language = {en} } @inproceedings{NunnKummertMuelleretal.2009, author = {Nunn, Christian and Kummert, Anton and M{\"u}ller, Dennis and Meuter, Mirko and M{\"u}ller-Schneiders, Stefan}, title = {An improved adaboost learning scheme using LDA features for object recognition}, series = {Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, MO, USA, October 3-7, 2009}, booktitle = {Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, MO, USA, October 3-7, 2009}, publisher = {IEEE}, address = {Piscataway, N.J.}, isbn = {978-1-4244-5521-8}, doi = {10.1109/ITSC.2009.5309856}, pages = {1 -- 6}, year = {2009}, language = {en} } @inproceedings{GonnerMuellerHoldetal.2009, author = {Gonner, Steffen and M{\"u}ller, Dennis and Hold, Stephanie and Meuter, Mirko and Kummert, Anton}, title = {Vehicle recognition and TTC estimation at night based on spotlight pairing}, series = {Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, MO, USA, October 3-7, 2009}, booktitle = {Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, MO, USA, October 3-7, 2009}, publisher = {IEEE}, address = {Piscataway, N.J.}, isbn = {978-1-4244-5521-8}, doi = {10.1109/ITSC.2009.5309848}, pages = {1 -- 6}, year = {2009}, language = {en} } @incollection{MuellerSchneidersHoldMeuteretal.2009, author = {M{\"u}ller-Schneiders, Stefan and Hold, Stephanie and Meuter, Mirko and M{\"u}ller, Dennis and Nunn, Christian}, title = {Augmented reality in advanced driver assistance systems}, series = {Conference on Artificial Intelligence, KI2009, Workshop Proceedings}, booktitle = {Conference on Artificial Intelligence, KI2009, Workshop Proceedings}, year = {2009}, language = {en} } @inproceedings{MuellerPauliMeuteretal.2011, author = {M{\"u}ller, Dennis and Pauli, Josef and Meuter, Mirko and Ghosh, Lali and M{\"u}ller-Schneiders, Stefan}, title = {A generic video and radar data fusion system for improved target selection}, series = {2011 IEEE Intelligent Vehicles Symposium (IV)}, booktitle = {2011 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, isbn = {978-1-4577-0891-6}, doi = {10.1109/IVS.2011.5940469}, pages = {679 -- 684}, year = {2011}, language = {en} } @inproceedings{ZhaoMeuterNunnetal.2012, author = {Zhao, Kun and Meuter, Mirko and Nunn, Christian and Muller, Dennis and Muller-Schneiders, Stefan and Pauli, Josef}, title = {A novel multi-lane detection and tracking system}, series = {2012 IEEE Intelligent Vehicles Symposium (IV)}, booktitle = {2012 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, isbn = {978-1-4673-2119-8}, doi = {10.1109/IVS.2012.6232168}, pages = {1084 -- 1089}, year = {2012}, language = {en} } @inproceedings{StrygulecMuellerMeuteretal.2013, author = {Strygulec, Sarah and M{\"u}ller, Dennis and Meuter, Mirko and Nunn, Christian and Ghosh, Shamila and W{\"o}hler, Christian}, title = {Road boundary detection and tracking using monochrome camera images}, series = {2013 16th International Conference on Information Fusion (FUSION)}, booktitle = {2013 16th International Conference on Information Fusion (FUSION)}, publisher = {IEEE}, isbn = {978-605-86311-1-3}, pages = {864 -- 870}, year = {2013}, language = {en} } @misc{ZhaoIurgelMeuteretal.2014, author = {Zhao, Kun and Iurgel, Uri and Meuter, Mirko and M{\"u}ller, Dennis}, title = {Verfahren zum kalibrieren einer Bilderfassungseinrichtung}, year = {2014}, abstract = {Bei einem Verfahren zum Kalibrieren einer Bilderfassungseinrichtung, die an einem Kraftfahrzeug angeordnet ist und in der Lage ist, nacheinander Bilder eines vor dem Kraftfahrzeug befindlichen Verkehrsraums zu erfassen, werden in einem erfassten Bild wenigstens zwei Bildobjekte detektiert, welche in Weltkoordinaten geraden und zueinander im Wesentlichen parallelen Liniensegmenten entsprechen. Anhand der Bildobjekte wird die Position eines Fluchtpunkts in dem erfassten Bild gesch{\"a}tzt und mittels eines Tracking-Verfahrens verfolgt. Dabei wird ein Fehler f{\"u}r die Position des Fluchtpunkts berechnet. Sobald der berechnete Fehler einen vorbestimmten Schwellenwert unterschreitet, wird anhand der zu dem Fehler geh{\"o}rigen Position des Fluchtpunkts die Bilderfassungseinrichtung kalibriert.}, language = {de} } @misc{LessmannMeuterMueller2018, author = {Lessmann, Stephanie and Meuter, Mirko and Mueller, Dennis}, title = {Method to determine distance of an object from an automated vehicle with a monocular device}, year = {2018}, abstract = {A method of determining the distance of an object from an automated vehicle based on images taken by a monocular image acquiring device. The object is recognized with an object-class by means of an image processing system. Respective position data are determined from the images using a pinhole camera model based on the object-class. Position data indicating in world coordinates the position of a reference point of the object with respect to the plane of the road is used with a scaling factor of the pinhole camera model estimated by means of a Bayes estimator using the position data as observations and under the assumption that the reference point of the object is located on the plane of the road with a predefined probability. The distance of the object from the automated vehicle is calculated from the estimated scaling factor using the pinhole camera model.}, language = {en} }