@incollection{WendorffEggertPohletal.2007, author = {Wendorff, Marion and Eggert, Thorsten and Pohl, Martina and Dresen, Carola and M{\"u}ller, Michael and Jaeger, Karl-Erich and Sprenger, Georg A. and Sch{\"u}rmann, Melanie and Sch{\"u}rmann, Martin and Johnen, Sandra and Sprenger, Gerda and Sahm, Hermann and Inoue, Tomoyuki and Sch{\"o}rken, Ulrich and Breittaupt, Holger and Fr{\"o}lich, Bettina and Heim, Petra and Iding, Hans and Juchem, Bettina and Siegert, Petra and Kula, Maria-Regina and Weckbecker, Andrea and Hummel, Werner and Fessner, Wolf-Dieter and Elling, Lothar and Wolberg, Michael and Bode, Silke and Feldmann, Ralf and Geilenkirchen, Petra and Schubert, Thomas and Walter, Lydia and D{\"u}nnwald, Thomas and Demir, Ayhan S. and Kolter-Jung, Doris and Nitsche, Adam and D{\"u}nkelmann, Pascal and Cosp, Annabel and Lingen, Bettina}, title = {Catalytic asymmetric synthesis : section 2.2}, series = {Asymmetric synthesis with chemical and biological methods / ed. by Dieter Enders ...}, booktitle = {Asymmetric synthesis with chemical and biological methods / ed. by Dieter Enders ...}, publisher = {Wiley-VCH}, address = {Weinheim}, isbn = {978-3-527-31473-7}, pages = {298 -- 413}, year = {2007}, language = {en} } @inproceedings{WalterGligorevicDetertetal.2010, author = {Walter, Michael and Gligorevic, Snjezana and Detert, Thorben and Schnell, Michael}, title = {UHF/VHF air-to-air propagation measurements}, series = {Proceedings of the Fourth European Conference on Antennas and Propagation (EuCAP) : 12 - 16 April 2010, Barcelona, Spain}, booktitle = {Proceedings of the Fourth European Conference on Antennas and Propagation (EuCAP) : 12 - 16 April 2010, Barcelona, Spain}, organization = {European Association on Antennas and Propagation}, isbn = {978-1-4244-6431-9 ; 978-84-7653-472-4}, pages = {1 -- 5}, year = {2010}, language = {en} } @article{DammErlerHillenetal.2011, author = {Damm, Alexander and Erler, Andr{\´e} and Hillen, Walter and Meroni, Michele and Schaepman, Michael E. and Verhoef, Wout and Rascher, Uwe}, title = {Modeling the impact of spectral sensor configurations on the FLD retrieval accuracy of sun-induced chlorophyll fluorescence}, series = {Remote Sensing of Environment}, volume = {115}, journal = {Remote Sensing of Environment}, number = {8}, publisher = {Elsevier}, address = {Amsterdam}, isbn = {0034-4257}, pages = {1882 -- 1892}, year = {2011}, language = {en} } @book{HeltemesRoeslerZitteletal.1992, author = {Heltemes, Stefan and R{\"o}sler, Rolf and Zittel, Walter and Meliß, Michael}, title = {Externe Effekte regenerativer Energiesysteme : Externe Effekte bei einem umfassenden System einer Photovoltaikwirtschaft. - (Prognos-Schriftenreihe "Identifizierung und Internalisierung externer Kosten der Energieversorgung". 3)}, publisher = {Prognos AG}, address = {Basel}, pages = {88, 59, 26 S. : graph. Darst.}, year = {1992}, language = {de} } @inproceedings{SchnellBrandesGligorevicetal.2008, author = {Schnell, Michael and Brandes, Sinja and Gligorevic, Snjezana and Walter, M. and Rihacek, Christoph and Sajatovic, Miodrag and Haindl, Bernhard}, title = {Interference mitigation for broadband L-DACS}, series = {27th IEEE/AIAA Digital Avionics Systems Conference : DASC 2008 : 26-30 Oct. 2008, St. Paul, Minn.}, booktitle = {27th IEEE/AIAA Digital Avionics Systems Conference : DASC 2008 : 26-30 Oct. 2008, St. Paul, Minn.}, organization = {Institute of Electrical and Electronics Engineers}, isbn = {978-1-4244-2207-4 ; 978-1-4244-2208-1}, pages = {2B2-1 -- 2B2-12}, year = {2008}, language = {en} } @inproceedings{RekePeterSchulteTiggesetal.2020, author = {Reke, Michael and Peter, Daniel and Schulte-Tigges, Joschua and Schiffer, Stefan and Ferrein, Alexander and Walter, Thomas and Matheis, Dominik}, title = {A Self-Driving Car Architecture in ROS2}, series = {2020 International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa}, booktitle = {2020 International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa}, publisher = {IEEE}, address = {New York, NY}, isbn = {978-1-7281-4162-6}, doi = {10.1109/SAUPEC/RobMech/PRASA48453.2020.9041020}, pages = {1 -- 6}, year = {2020}, abstract = {In this paper we report on an architecture for a self-driving car that is based on ROS2. Self-driving cars have to take decisions based on their sensory input in real-time, providing high reliability with a strong demand in functional safety. In principle, self-driving cars are robots. However, typical robot software, in general, and the previous version of the Robot Operating System (ROS), in particular, does not always meet these requirements. With the successor ROS2 the situation has changed and it might be considered as a solution for automated and autonomous driving. Existing robotic software based on ROS was not ready for safety critical applications like self-driving cars. We propose an architecture for using ROS2 for a self-driving car that enables safe and reliable real-time behaviour, but keeping the advantages of ROS such as a distributed architecture and standardised message types. First experiments with an automated real passenger car at lower and higher speed-levels show that our approach seems feasible for autonomous driving under the necessary real-time conditions.}, language = {en} } @inproceedings{ChajanSchulteTiggesRekeetal.2021, author = {Chajan, Eduard and Schulte-Tigges, Joschua and Reke, Michael and Ferrein, Alexander and Matheis, Dominik and Walter, Thomas}, title = {GPU based model-predictive path control for self-driving vehicles}, series = {IEEE Intelligent Vehicles Symposium (IV)}, booktitle = {IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {New York, NY}, isbn = {978-1-7281-5394-0}, doi = {10.1109/IV48863.2021.9575619}, pages = {1243 -- 1248}, year = {2021}, abstract = {One central challenge for self-driving cars is a proper path-planning. Once a trajectory has been found, the next challenge is to accurately and safely follow the precalculated path. The model-predictive controller (MPC) is a common approach for the lateral control of autonomous vehicles. The MPC uses a vehicle dynamics model to predict the future states of the vehicle for a given prediction horizon. However, in order to achieve real-time path control, the computational load is usually large, which leads to short prediction horizons. To deal with the computational load, the control algorithm can be parallelized on the graphics processing unit (GPU). In contrast to the widely used stochastic methods, in this paper we propose a deterministic approach based on grid search. Our approach focuses on systematically discovering the search area with different levels of granularity. To achieve this, we split the optimization algorithm into multiple iterations. The best sequence of each iteration is then used as an initial solution to the next iteration. The granularity increases, resulting in smooth and predictable steering angle sequences. We present a novel GPU-based algorithm and show its accuracy and realtime abilities with a number of real-world experiments.}, language = {en} } @article{SchulteTiggesFoersterNikolovskietal.2022, author = {Schulte-Tigges, Joschua and F{\"o}rster, Marco and Nikolovski, Gjorgji and Reke, Michael and Ferrein, Alexander and Kaszner, Daniel and Matheis, Dominik and Walter, Thomas}, title = {Benchmarking of various LiDAR sensors for use in self-driving vehicles in real-world environments}, series = {Sensors}, volume = {22}, journal = {Sensors}, number = {19}, publisher = {MDPI}, address = {Basel}, issn = {1424-8220}, doi = {10.3390/s22197146}, pages = {20 Seiten}, year = {2022}, abstract = {Abstract In this paper, we report on our benchmark results of the LiDAR sensors Livox Horizon, Robosense M1, Blickfeld Cube, Blickfeld Cube Range, Velodyne Velarray H800, and Innoviz Pro. The idea was to test the sensors in different typical scenarios that were defined with real-world use cases in mind, in order to find a sensor that meet the requirements of self-driving vehicles. For this, we defined static and dynamic benchmark scenarios. In the static scenarios, both LiDAR and the detection target do not move during the measurement. In dynamic scenarios, the LiDAR sensor was mounted on the vehicle which was driving toward the detection target. We tested all mentioned LiDAR sensors in both scenarios, show the results regarding the detection accuracy of the targets, and discuss their usefulness for deployment in self-driving cars.}, language = {en} } @article{CollPeralesSchulteTiggesRondinoneetal.2022, author = {Coll-Perales, Baldomero and Schulte-Tigges, Joschua and Rondinone, Michele and Gozalvez, Javier and Reke, Michael and Matheis, Dominik and Walter, Thomas}, title = {Prototyping and evaluation of infrastructure-assisted transition of control for cooperative automated vehicles}, series = {IEEE Transactions on Intelligent Transportation Systems}, volume = {23}, journal = {IEEE Transactions on Intelligent Transportation Systems}, number = {7}, publisher = {IEEE}, issn = {1524-9050 (Print)}, doi = {10.1109/TITS.2021.3061085}, pages = {6720 -- 6736}, year = {2022}, abstract = {Automated driving is now possible in diverse road and traffic conditions. However, there are still situations that automated vehicles cannot handle safely and efficiently. In this case, a Transition of Control (ToC) is necessary so that the driver takes control of the driving. Executing a ToC requires the driver to get full situation awareness of the driving environment. If the driver fails to get back the control in a limited time, a Minimum Risk Maneuver (MRM) is executed to bring the vehicle into a safe state (e.g., decelerating to full stop). The execution of ToCs requires some time and can cause traffic disruption and safety risks that increase if several vehicles execute ToCs/MRMs at similar times and in the same area. This study proposes to use novel C-ITS traffic management measures where the infrastructure exploits V2X communications to assist Connected and Automated Vehicles (CAVs) in the execution of ToCs. The infrastructure can suggest a spatial distribution of ToCs, and inform vehicles of the locations where they could execute a safe stop in case of MRM. This paper reports the first field operational tests that validate the feasibility and quantify the benefits of the proposed infrastructure-assisted ToC and MRM management. The paper also presents the CAV and roadside infrastructure prototypes implemented and used in the trials. The conducted field trials demonstrate that infrastructure-assisted traffic management solutions can reduce safety risks and traffic disruptions.}, language = {en} } @inproceedings{SchulteTiggesMatheisRekeetal.2023, author = {Schulte-Tigges, Joschua and Matheis, Dominik and Reke, Michael and Walter, Thomas and Kaszner, Daniel}, title = {Demonstrating a V2X enabled system for transition of control and minimum risk manoeuvre when leaving the operational design domain}, series = {HCII 2023: HCI in Mobility, Transport, and Automotive Systems}, booktitle = {HCII 2023: HCI in Mobility, Transport, and Automotive Systems}, editor = {Kr{\"o}mker, Heidi}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-35677-3 (Print)}, doi = {10.1007/978-3-031-35678-0_12}, pages = {200 -- 210}, year = {2023}, abstract = {Modern implementations of driver assistance systems are evolving from a pure driver assistance to a independently acting automation system. Still these systems are not covering the full vehicle usage range, also called operational design domain, which require the human driver as fall-back mechanism. Transition of control and potential minimum risk manoeuvres are currently research topics and will bridge the gap until full autonomous vehicles are available. The authors showed in a demonstration that the transition of control mechanisms can be further improved by usage of communication technology. Receiving the incident type and position information by usage of standardised vehicle to everything (V2X) messages can improve the driver safety and comfort level. The connected and automated vehicle's software framework can take this information to plan areas where the driver should take back control by initiating a transition of control which can be followed by a minimum risk manoeuvre in case of an unresponsive driver. This transition of control has been implemented in a test vehicle and was presented to the public during the IEEE IV2022 (IEEE Intelligent Vehicle Symposium) in Aachen, Germany.}, language = {en} } @book{ElsaesserKlebinggatKuhnetal.2024, author = {Elsaesser, Evelyn and Klebinggat, Michael and Kuhn, Wilfried and Michielsens, Constant and Pauels, Willibert and Popkes, Enno E. and Schneider, Elke and Laack, Walter van and Warven, Rinus van}, title = {Schnittstelle Tod - Ist die Menschheit zu retten ohne Vertrauen auf ein Danach}, editor = {Laack, Walter van}, publisher = {van Laack Buchverlag}, address = {Aachen}, isbn = {978-3-936624-58-8}, pages = {156 Seiten}, year = {2024}, language = {de} }