TY - CHAP A1 - Nikolovski, Gjorgji A1 - Reke, Michael A1 - Elsen, Ingo A1 - Schiffer, Stefan T1 - Machine learning based 3D object detection for navigation in unstructured environments T2 - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops) N2 - In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine. KW - 3D object detection KW - LiDAR KW - autonomous driving KW - Deep learning KW - Three-dimensional displays Y1 - 2021 SN - 978-1-6654-7921-9 U6 - https://doi.org/10.1109/IVWorkshops54471.2021.9669218 N1 - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 11-17 July 2021, Nagoya, Japan. SP - 236 EP - 242 PB - IEEE ER - TY - CHAP A1 - Leise, Philipp A1 - Altherr, Lena T1 - Experimental evaluation of resilience metrics in a fluid system T2 - Mastering Uncertainty in Mechanical Engineering Y1 - 2021 SN - 978-3-030-78356-3 N1 - Unterkapitel des Kapitels "Strategies for Mastering Uncertainty" SP - 442 EP - 447 PB - Springer CY - Cham ER - TY - CHAP A1 - Altherr, Lena A1 - Leise, Philipp A1 - Pfetsch, Marc E. A1 - Schmitt, Andreas T1 - Optimal design of resilient technical systems on the example of water supply systems T2 - Mastering Uncertainty in Mechanical Engineering Y1 - 2021 SN - 978-3-030-78356-3 N1 - Unterkapitel des Kapitels "Strategies for Mastering Uncertainty" SP - 429 EP - 433 PB - Springer CY - Cham ER - TY - CHAP A1 - Altherr, Lena A1 - Leise, Philipp T1 - Resilience as a concept for mastering uncertainty T2 - Mastering Uncertainty in Mechanical Engineering Y1 - 2021 SN - 978-3-030-78353-2 U6 - https://doi.org/10.1007/978-3-030-78354-9 N1 - Unterkapitel 6.3.1 des Kapitels "Strategies for Mastering Uncertainty" SP - 412 EP - 417 PB - Springer CY - Cham ER - TY - JOUR A1 - Golland, Alexander T1 - Datenschutzkonforme Test-, Impf- und Genesungskontrollen in Betrieben der Privatwirtschaft JF - DSB Datenschutz-Berater Y1 - 2021 SN - 0170-7256 VL - 45 IS - 5 SP - 158 EP - 160 PB - DFV Mediengruppe CY - Frankfurt a.M. ER - TY - JOUR A1 - Golland, Alexander T1 - Cookies & Co. – trotz neuem Gesetz alte Probleme für Website-Betreiber. Anpassung des deutschen Rechts durch das TTDSG an unionsrechtliche Vorgaben zum 1.12.2021 JF - NWB Steuer- und Wirtschaftsrecht Y1 - 2021 SN - 0028-3460 VL - 2021 IS - 25 SP - 1818 EP - 1825 PB - NWB-Verlag CY - Herne ER - TY - JOUR A1 - Golland, Alexander T1 - Neuregelungen zum Datenschutz: Ein Update für Website-Betreiber. Reform des Telekommunikations- und Telemedienrechts verabschiedet JF - NWB Rechnungswesen - BBK Y1 - 2021 SN - 0340-9848 IS - 14 SP - 672 EP - 674 ER - TY - JOUR A1 - Golland, Alexander T1 - Anforderungen an Transfer Impact Assessments bei Datentransfers in unsichere Drittländer JF - DSB Datenschutz-Berater Y1 - 2021 SN - 0170-7256 VL - 45 IS - 7-8 SP - 229 EP - 231 PB - DFV Mediengruppe CY - Frankfurt a.M. ER - TY - JOUR A1 - Golland, Alexander ED - Ewer, Wolfgang ED - Hamm, Rainer ED - Karpenstein, Ulrich ED - Oberthür, Nathalie ED - Herchen, Hilke ED - Bräutigam, Peter T1 - Das Telekommunikation-Telemedien-Datenschutzgesetz. Cookies und PIMS als Herausforderungen für Website-Betreiber JF - NJW Neue Juristische Wochenschrift Y1 - 2021 SN - 0341-1915 IS - 31 SP - 2238 EP - 2243 PB - Beck CY - München ER - TY - CHAP A1 - Englhard, Markus A1 - Weber, Tobias A1 - Arent, Jan-Christoph T1 - Efficiency enhancement for CFRP-Prepregautoclave manufacturing by means of simulation-assisted loading optimization T2 - Proceedings of SAMPE Europe Conference 2021 N2 - A new method for improved autoclave loading within the restrictive framework of helicopter manufacturing is proposed. It is derived from experimental and numerical studies of the curing process and aims at optimizing tooling positions in the autoclave for fast and homogeneous heat-up. The mold positioning is based on two sets of information. The thermal properties of the molds, which can be determined via semi-empirical thermal simulation. The second information is a previously determined distribution of heat transfer coefficients inside the autoclave. Finally, an experimental proof of concept is performed to show a cycle time reduction of up to 31% using the proposed methodology. Y1 - 2021 N1 - SAMPE Europe Conference 2021, Baden/Zürich, Schweiz, 29. bis 30. September 2021 ER -