@unpublished{SanchezMoralesBotschHuberetal.2020, author = {S{\´a}nchez Morales, Eduardo and Botsch, Michael and Huber, Bertold and Garc{\´i}a Higuera, Andr{\´e}s}, title = {High precision indoor positioning by means of LiDAR}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2005.06798}, year = {2020}, language = {en} } @unpublished{SanchezMoralesMembarthGaulletal.2020, author = {S{\´a}nchez Morales, Eduardo and Membarth, Richard and Gaull, Andreas and Slusallek, Philipp and Dirndorfer, Tobias and Kammenhuber, Alexander and Lauer, Christoph and Botsch, Michael}, title = {Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2005.06773}, year = {2020}, language = {en} } @unpublished{NadarajanBotschSardina2018, author = {Nadarajan, Parthasarathy and Botsch, Michael and Sardina, Sebastian}, title = {Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2512.12907}, year = {2018}, language = {en} } @unpublished{NadarajanBotschSardina2017, author = {Nadarajan, Parthasarathy and Botsch, Michael and Sardina, Sebastian}, title = {Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2512.12901}, year = {2017}, language = {en} } @unpublished{NadarajanBotsch2016, author = {Nadarajan, Parthasarathy and Botsch, Michael}, title = {Probability Estimation for Predicted-Occupancy Grids in Vehicle Safety Applications Based on Machine Learning}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2512.12896}, year = {2016}, language = {en} } @unpublished{KruberSanchezMoralesChakrabortyetal.2020, author = {Kruber, Friedrich and S{\´a}nchez Morales, Eduardo and Chakraborty, Samarjit and Botsch, Michael}, title = {Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2004.08206}, year = {2020}, language = {en} } @article{RieglerRienerHolzmann2019, author = {Riegler, Andreas and Riener, Andreas and Holzmann, Clemens}, title = {A Systematic Review of Augmented Reality Applications for Automated Driving: 2009-2020}, volume = {28}, journal = {Presence: Teleoperators and Virtual Environments}, publisher = {MIT Press}, address = {Cambridge}, issn = {1054-7460}, doi = {https://doi.org/10.1162/pres_a_00343}, pages = {87 -- 126}, year = {2019}, language = {en} } @inproceedings{KundingerRienerSofra2017, author = {Kundinger, Thomas and Riener, Andreas and Sofra, Nikoletta}, title = {A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data}, booktitle = {Mensch und Computer 2017 - Workshopband}, editor = {Burghardt, Manuel and Wimmer, Raphael and Wolff, Christian and Womser-Hacker, Christa}, publisher = {Gesellschaft f{\"u}r Informatik}, address = {Regensburg}, doi = {https://doi.org/10.18420/muc2017-ws09-0307}, pages = {433 -- 440}, year = {2017}, language = {en} } @unpublished{KruberWurstBotsch2020, author = {Kruber, Friedrich and Wurst, Jonas and Botsch, Michael}, title = {An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2004.02121}, year = {2020}, language = {en} } @book{TinnefeldBuchnerPetrietal.2017, author = {Tinnefeld, Marie-Theres and Buchner, Benedikt and Petri, Thomas and Hof, Hans-Joachim}, title = {Einf{\"u}hrung in das Datenschutzrecht}, subtitle = {Datenschutz und Informationsfreiheit in europ{\"a}ischer Sicht}, edition = {6., vollst{\"a}ndig {\"u}berarbeitete und aktualisierte Auflage}, publisher = {De Gruyter Oldenbourg}, address = {Berlin}, isbn = {978-3-11-041673-2}, doi = {https://doi.org/10.1515/9783110416732}, pages = {XXXII, 536}, year = {2017}, language = {de} }