TY - CHAP A1 - Niemueller, Tim A1 - Reuter, Sebastian A1 - Ferrein, Alexander A1 - Jeschke, Sabina A1 - Lakemeyer, Gerhard ED - Almeida, Luis T1 - Evaluation of the RoboCup Logistics League and Derived Criteria for Future Competitions T2 - RoboCup 2015: Robot World Cup XIX Y1 - 2016 SN - 978-3-319-29339-4 U6 - http://dx.doi.org/10.1007/978-3-319-29339-4_3 N1 - Lecture Notes in Computer Science ; 9513 SP - 31 EP - 43 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Niemüller, Tim A1 - Ewert, Daniel A1 - Reuter, Sebastian A1 - Ferrein, Alexander A1 - Jeschke, Sabina A1 - Lakemeyer, Gerhard T1 - The Carologistics RoboCup Logistics Team 2013 T2 - RoboCup 2013 : Eindhoven Y1 - 2013 SP - 1 EP - 8 ER - TY - CHAP A1 - Niemüller, Tim A1 - Ewert, Daniel A1 - Reuter, Sebastian A1 - Karras, Ulrich A1 - Ferrein, Alexander T1 - Towards benchmarking cyber-physical systems in factory automation scenarios T2 - KI 2013: advances in artificial intelligence : 36th Annual German Conference on AI, Koblenz, Germany, September 16-20, 2013 ; proceedings / Ingo J. Timm ... (ed.). (Lecture notes in computer science ; 8077) Y1 - 2013 SN - 978-3-642-40941-7 SP - 296 EP - 299 PB - Springer CY - Berlin [u.a.] ER - TY - CHAP A1 - Niemüller, Tim A1 - Lakemeyer, Gerhard A1 - Ferrein, Alexander T1 - Aspects of integrating diverse software into robotic systems extended abstract T2 - ICRA 2013 - 8th Workshop on Software Development and Integration in Robotics (SDIR), Karlsruhe, Germany Y1 - 2013 SP - 1 EP - 2 ER - TY - CHAP A1 - Niemüller, Tim A1 - Lakemeyer, Gerhard A1 - Ferrein, Alexander ED - Boots, Byron T1 - Incremental task-level reasoning in a competitive factory automation scenario T2 - Designing intelligent robots : reintegrating AI II ; papers from the AAAI spring symposium ; [held March 25 - 27, 2013 in Palo Alto, California, USA, on the campus of Stanford University]. (Technical Report / Association for the Advancement of Artificial Intelligence ; 2013,4) Y1 - 2013 SN - 9781577356011 SP - 43 EP - 48 ER - TY - CHAP A1 - Nikolovski, Gjorgji A1 - Limpert, Nicolas A1 - Nessau, Hendrik A1 - Reke, Michael A1 - Ferrein, Alexander T1 - Model-predictive control with parallelised optimisation for the navigation of autonomous mining vehicles T2 - 2023 IEEE Intelligent Vehicles Symposium (IV) N2 - The work in modern open-pit and underground mines requires the transportation of large amounts of resources between fixed points. The navigation to these fixed points is a repetitive task that can be automated. The challenge in automating the navigation of vehicles commonly used in mines is the systemic properties of such vehicles. Many mining vehicles, such as the one we have used in the research for this paper, use steering systems with an articulated joint bending the vehicle’s drive axis to change its course and a hydraulic drive system to actuate axial drive components or the movements of tippers if available. To address the difficulties of controlling such a vehicle, we present a model-predictive approach for controlling the vehicle. While the control optimisation based on a parallel error minimisation of the predicted state has already been established in the past, we provide insight into the design and implementation of an MPC for an articulated mining vehicle and show the results of real-world experiments in an open-pit mine environment. KW - Mpc KW - Control KW - Path-following KW - Navigation KW - Automation Y1 - 2023 SN - 979-8-3503-4691-6 (Online) SN - 979-8-3503-4692-3 (Print) U6 - http://dx.doi.org/10.1109/IV55152.2023.10186806 N1 - IEEE Symposium on Intelligent Vehicle, 4.-7. June 2023, Anchorage, AK, USA. PB - IEEE ER - 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 - http://dx.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 - Nursinski-Stolberg, André A1 - Gangatharan, Kiritharan A1 - Czarnecki, Christian ED - Mayr, Heinrich C. ED - Pinzger, Martin T1 - Development of a subject-oriented reference process model for the telecommunications industry T2 - GI Edition Proceedings Band 259 INFORMATIK 2016 N2 - Generally the usage of reference models can be structured top-down or bottom-up. The practical need of agile change and flexible organizational implementation requires a consistent mapping to an operational level. In this context, well-established reference process models are typically structured top-down. The subject-oriented Business Process Management (sBPM) offers a modeling concept that is structured bottom-up and concentrates on the process actors on an operational level. This paper applies sBPM to the enhanced Telecom Operations Map (eTOM), a well-accepted reference process model in the telecommunications industry. The resulting design artifact is a concrete example for a combination of a bottom-up and top-down developed reference model. The results are evaluated and confirmed in practical context through the involvement of the industry body TMForum. KW - Subject-oriented Business Process Management KW - Reference Process Model KW - eTOM KW - Telecommunications Industry. Y1 - 2016 SN - 9783885796534 SN - 1617-5468 N1 - 26.-30. September 2016, Klagenfurt. SP - 699 EP - 712 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - CHAP A1 - Nötzold, K. A1 - Uphues, A. A1 - Wegener, R. A1 - Fink, K. A1 - Bragard, Michael A1 - Griessel, R. A1 - Soter, S. T1 - Inverter based test setup for LVRT verification of a full-scale 2 MW wind power converter T2 - 15th European Conference on Power Electronics and Applications (EPE), 2013 : 2 - 6 Sept. 2013, Lille, France / [EPE Association; PELS, IEEE Power Electronics Society] Y1 - 2013 SN - 978-1-4799-0115-9 (Online-Ausg.) U6 - http://dx.doi.org/10.1109/EPE.2013.6634752 SP - 1037 EP - 1042 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Nötzold, K. A1 - Uphues, A. A1 - Wegener, R. A1 - Soter, S. A1 - Fink, K. A1 - Bragard, Michael A1 - Griessel, R. T1 - Inverter based test setup for LVRT verification of a full-scale 2 MW wind power converter T2 - EPE Joint Wind Energy and T&D Chapters Seminar : 28th and 29th of June 2012, in the Utzon Centre, Aalborg, Denmark ; papers, posters, presentations. - Session 2: Grid connection, compliance Y1 - 2012 PB - EPE Association CY - Brussels ER -