TY - JOUR A1 - Korn, Ulrich A1 - Zindler, Klaus T1 - Vollständig Modale Synthese robust stabiler Ausgangsrückführungen unter Verwendung eines H∞-Kostenfunktionals JF - at - Automatisierungstechnik KW - Robuste Regelung Y1 - 1997 U6 - https://doi.org/10.1524/auto.1997.45.6.290 VL - 45 IS - 6 SP - 290 EP - 298 PB - De Gruyter ER - TY - CHAP A1 - Korn, Ulrich A1 - Zindler, Klaus T1 - Entwurf robust stabiler linearer Regler bei parametrischer Modellunsicherheit mittels Vollständiger Modaler Synthese T2 - VDI/VDE GMA-Fachausschuss 1.4 "Theoretische Verfahren der Regelunsgtechnik", Workshop Interlaken, Schweiz, September 1999 KW - Robuste Regelung Y1 - 1999 ER - TY - CHAP A1 - Zindler, Klaus A1 - Korn, Ulrich T1 - An H∞-based approach to complete modal synthesis confirming robust steady state accuracy T2 - Proceedings of the IFAC Conference On Control Of Industrial Systems, "Control for the Future and Youth", Belfort, France, 20.-22. Mai 1997 KW - Robuste Regelung Y1 - 1997 SN - 1474-6670 VL - 1997 IS - 30(6) SP - 635 EP - 640 PB - PERGAMON, an Imprint of Elsevier Science ER - TY - CHAP A1 - Zindler, Klaus A1 - Korn, Ulrich T1 - An H∞-based approach to complete modal synthesis of low order, robust controllers T2 - Proceedings and Preprints of the 1997 Advanced Summer Institute - ASI'97, Annual Conference of ESPRIT ICIMS-NOE, Life Cycle Approaches to Production Systems: Management, Control, Supversision, volume 1, Budapest, Hungary, July 1997 KW - Robuste Regelung Y1 - 1997 VL - 1997 ER - TY - CHAP A1 - Zindler, Klaus A1 - Korn, Ulrich T1 - A general design structure for the complete modal synthesis of robust, dynamic controllers T2 - Proceedings of the 4th International Symposium on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, 1997 KW - Robuste Regelung Y1 - 1997 VL - 1997 SP - 173 EP - 178 ER - TY - CHAP A1 - Zindler, Klaus A1 - Korn, Ulrich T1 - An H∞-optimization approach to complete modal synthesis of robustly stable output feedback controllers T2 - Proceedings of the 3rd International Symposium on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, September 1996 KW - Robuste Regelung Y1 - 1996 VL - 1996 SP - 377 EP - 382 ER - TY - CHAP A1 - Zindler, Klaus A1 - Korn, Ulrich T1 - Vollständig Modale Synthese robuster PI-Mehrgrößenregelungen unter Verwendung eines H∞-Kostenfunktionals T2 - Workshop des VDI/VDE GMA-Fachausschusses 1.4 "Theoretische Verfahren der Regelungstechnik", Interlaken, Schweiz, September 1996 KW - Robuste Regelung Y1 - 1996 VL - 1996 SP - 253 EP - 261 ER - TY - CHAP A1 - Zindler, Klaus A1 - Korn, Ulrich T1 - Vollständige Modale Synthese robuster Regelungen mittels Optimierung eines H∞-Kostenfunktionals T2 - 30. Regelungstechnisches Kolloquium, Boppard, Februar 1996 KW - Robuste Regelung Y1 - 1996 VL - 1996 ER - TY - CHAP A1 - Zindler, Klaus T1 - Federn, Dämpfen, Stabilisieren - Beispiele für den Einsatz moderner Regelungstechnik in der Mechatronik T2 - Forum für Forschung und Wirtschaft der Industrievereinigung Odenwaldkreis, Michelstadt, Januar 2008 KW - Regelungstechnik KW - Mechatronik Y1 - 2008 VL - 2008 ER - TY - GEN A1 - Zindler, Klaus T1 - "Federn, Dämpfen, Stabilisieren" - Moderne Regelungstechnik in der Mechatronik T2 - Vortragsreihe "Verstandene Technik Begeistert" KW - Regelungstechnik KW - Mechatronik KW - Vortrag Y1 - 2009 VL - 2009 CY - Aschaffenburg ER - TY - CHAP A1 - Zindler, Klaus T1 - Erzielbare Komfortverbesserung mit aktiven Federungen unter Verwendung einer Sky-Hook-Regelstrategie T2 - Vortrag im Forschungs- und Innovationszentrum der BMW AG, München, Juni 2002 KW - Kraftfahrzeugfederung Y1 - 2002 VL - 2002 ER - TY - GEN A1 - Zindler, Klaus T1 - Das mechatronische Fahrwerkkonzept T2 - Vortrag im Forschungs- und Innovationszentrum der BMW AG KW - Kraftfahrzeug KW - Fahrwerk KW - Vortrag Y1 - 2002 VL - 2002 IS - Januar CY - München ER - TY - CHAP A1 - Zindler, Klaus T1 - Vollständige Modale Synthese robuster Regelungen unter Verwendung eines H∞-Kostenfunktionals T2 - Kolloquium des Deutschen Zentrums für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, April 1997 KW - Robuste Regelung Y1 - 1997 VL - 1997 ER - TY - CHAP A1 - Zindler, Klaus T1 - Eine Strategie zur Erlangung robuster Stabilität unter Nutzung der Freiheitsgrade beim Entwurf für Mehrgrößensysteme T2 - Kolloquium des Max-Planck-Instituts für Dynamik komplexer technischer Systeme, Magdeburg, Januar 1999 KW - Robuste Regelung Y1 - 1999 VL - 1999 ER - TY - INPR A1 - Zindler, Klaus T1 - Entwurf einer robusten Regelung nach der µ-Synthese am Beispiel eines primärseitig verstellbaren Hydrogetriebes KW - Robuste Regelung KW - Flüssigkeitsgetriebe Y1 - 1994 ER - TY - INPR A1 - Zindler, Klaus A1 - Korn, Ulrich T1 - An H∞-based approach to complete modal synthesis ensuring robust steady state accuracy KW - Robuste Regelung Y1 - 1996 ER - TY - INPR A1 - Korn, Ulrich A1 - Zindler, Klaus T1 - Vollständige Modale Synthese robuster Regelungen mittels Optimierung eines H∞-Kostenfunktionals KW - Robuste Regelung Y1 - 1995 ER - TY - GEN A1 - Zindler, Klaus A1 - Hahn, Stefan T1 - Automatisierter Test von Fahrzeugsicherheitssystemen T2 - Seminar "Fahrzeugregel- und Fahrzeugsicherheitssysteme" KW - Fahrerassistenzsystem KW - Passive Sicherheit Y1 - 2012 VL - 2012 IS - November CY - Obernburg ER - TY - JOUR A1 - Hahn, Stefan A1 - Heinlein, Sven A1 - Zindler, Klaus T1 - Testing Methods for Forward-looking Safety Systems JF - ATZ worldwide KW - Fahrerassistenzsystem KW - Fußgänger Y1 - 2012 VL - 114 (2012) IS - 11 SP - 4 EP - 7 PB - Springer Automotive Media ER - TY - JOUR A1 - Zindler, Klaus A1 - Blank, Andreas T1 - Fußgängerattrappen mit Lineareinheiten realistisch bewegen JF - Konstruktion - Sonderausgabe "Special Antriebstechnik" KW - Fahrerassistenzsystem KW - Fußgänger Y1 - 2014 VL - 2014 IS - S2 SP - 44 EP - 45 PB - Springer-VDI-Verlag ER - TY - CHAP A1 - Pissulla, Daniel A1 - Borgeest, Kai T1 - Energieeffizienter Antrieb eines Mobilroboters mit einem kombinierten DC/BLDC-Motor T2 - Tagungsband 13. AALE-Konferenz 2016 N2 - Das Projekt Etara (Entwicklungs- und Testzentrum für Automatisierung, Robotik und Automo-tive) des Zentrums für wissenschaftliche Services der Hochschule Aschaffenburg entwickelt als Referenzanwendung seiner Hardwareplattform einen Mobilroboter EtaBot für Erkundungs-zwecke. Dieser Roboter dient mittlerweile als Technologieträger für verschiedenste Sensorik, Aktorik und Algorithmen zur Berechnung von Wegen, Karten und vieles mehr. Viele Kompo-nenten des EtaBots sind bedeutende Verbraucher von elektrischer Energie welche nachein-ander analysiert und optimiert werden müssen. So fällt neben dem Rechner auch der Antrieb des EtaBots als großer Energieverbraucher auf, welcher unter anderem mit einer selbst entwickelten Ansteuerung optimiert werden kann. KW - BLDC KW - Antriebssteuerung Y1 - 2016 SP - 243 EP - 248 ER - TY - CHAP A1 - Teigelkötter, Johannes A1 - Stock, Alexander A1 - Kowalski, Thomas A1 - Staudt, Stefan A1 - Lang, Klaus A1 - Eberlein, Dirk ED - Schäfer, Heinz T1 - Hochdynamische Leistungsmessung auf der Basis von Rohdaten im Antriebsstrang von Hybrid- und Elektrofahrzeugen T2 - Haus der Technik KW - Leistungsmessung KW - Elektrofahrzeug KW - Leistungsmessung KW - Elektrofahrzeuge Y1 - 2013 SN - 978-3-8169-3239-0 VL - 131 SP - 444 EP - 457 PB - Expert-Verlag CY - Renningen ER - TY - CHAP A1 - Teigelkötter, Johannes A1 - Stock, Alexander A1 - Kowalski, Thomas A1 - Staudt, Stefan A1 - Lang, Klaus A1 - Eberlein, Dirk T1 - Hochdynamische Leistungsmessung im elektrischen Antriebsstrang von Elektrofahrzeugen T1 - Highly dynamic power measurement on the electrical power train of electrical drives T2 - ETG-Fachbericht 139 KW - Leistungsmessung KW - Leistungsmessung KW - Triebstrang KW - elektrischer Antriebsstrang Y1 - 2013 SN - 978-3-8007-3550-1 VL - 139 PB - VDE-Verlag CY - 2013 ER - TY - CHAP A1 - Teigelkötter, Johannes A1 - Stock, Alexander A1 - Staudt, Stefan A1 - Kowalski, Thomas ED - Schäfer, Heinz ED - Klaffke, Werner T1 - Traktionsantriebe mit hochausgenutzten Synchronreluktanzmaschinen im Niederspannungsbereich T2 - Elektrische Traktions- und Hilfsantriebe für die Elektrifizierung und Hybridisierung von Kraftfahrzeugen KW - Reluktanzmotor KW - Niederspannung Y1 - 2015 SN - 978-3-8007-3546-4 IS - 139 SP - 28 EP - 40 PB - Expert Verlag CY - Renningen ER - TY - CHAP A1 - Staudt, Stefan A1 - Teigelkötter, Johannes A1 - Kowalski, Thomas A1 - Stock, Alexander ED - IEEE, T1 - High-performance Synchronous Reluctance Motors in Low-voltage Applications T2 - 17th European Conference on Power Electronics and Applications (EPE’15 ECCE-Europe), 2015 KW - Niederspannung KW - Reluktanzmotor Y1 - 2015 U6 - https://doi.org/10.1109/EPE.2015.7309226 SP - 1 EP - 10 ER - TY - CHAP A1 - Stock, Alexander A1 - Teigelkötter, Johannes A1 - Kowalski, Thomas A1 - Staudt, Stefan ED - IEEE, T1 - Highly Efficient Constant-Speed Drive System Based on a Doubly Fed Permanent Magnet Synchronous Machine T2 - 17th European Conference on Power Electronics and Applications (EPE’15 ECCE-Europe), 2015 KW - inverter KW - permanent magnet synchronous machine KW - doubly-fed machine KW - Dauermagneterregter Synchronmotor Y1 - 2015 U6 - https://doi.org/10.1109/EPE.2015.7309228 SP - 1 EP - 10 ER - TY - CHAP A1 - Stock, Alexander A1 - Teigelkötter, Johannes A1 - Staudt, Stefan A1 - Kowalski, Thomas ED - IEEE, T1 - The Doubly Fed Permanent Magnet Synchronous Machine as a Highly Efficient Drive System for Constant Speed Applications T2 - IEEE 11th International Conference on Power Electronics and Drive Systems (PEDS) KW - inverter KW - permanent magnet machine KW - doubly-fed machine KW - Wechselrichter KW - Dauermagneterregter Synchronmotor Y1 - 2015 U6 - https://doi.org/10.1109/PEDS.2015.7203399 SP - 625 EP - 630 CY - Sydney, Australia ER - TY - CHAP A1 - Staudt, Stefan A1 - Stock, Alexander A1 - Kowalski, Thomas A1 - Teigelkötter, Johannes ED - IEEE, T1 - Raw Data Based Model and High Dynamic Control Concept for Traction Drives powered by Synchronous Reluctance Machines T2 - IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD), 2015 KW - Reluktanzmotor KW - Traktion Y1 - 2015 U6 - https://doi.org/10.1109/WEMDCD.2015.7194530 SP - 204 EP - 209 CY - Torino ER - TY - CHAP A1 - Kowalski, Thomas A1 - Teigelkötter, Johannes A1 - Stock, Alexander A1 - Reis, Thomas ED - IEEE, T1 - Energy Efficient Control Strategy for PMSM with Superconductive Stator Winding T2 - IEEE Transactions on Applied Superconductivity. Applied Superconductivity Conference (ASC) 2014 KW - superconductive machine KW - Drehstromsynchronmaschine KW - PMSM Y1 - 2014 U6 - https://doi.org/10.1109/TASC.2014.2372770 SN - 1051-8223 IS - 25, 3 CY - Charlotte, USA ER - TY - CHAP A1 - Teigelkötter, Johannes A1 - Stock, Alexander A1 - Eberlein, Dirk A1 - Lang, Klaus T1 - Innovative Measurement System for Inverter-Fed Traction Drives. Raw Data Acquisition and Near Real Time Analysis T2 - EVTeC & APE Japan 2014 KW - data acquisition KW - Datenerfassung KW - Leistungsmessung KW - inverter-fed drive KW - power measurement Y1 - 2014 CY - Yokohama, Japan ER - TY - JOUR A1 - Eberlein, Dirk A1 - Lang, Klaus A1 - Teigelkötter, Johannes A1 - Stock, Alexander T1 - Innovatives Messkonzept für elektrische Traktionsantriebe JF - e&i elektrotechnik und informationstechnik KW - Messtechnik KW - Triebstrang KW - Messtechnik KW - elektrischer Antriebsstrang Y1 - 2013 VL - 2013 IS - 130 / 8 SP - 24 EP - 28 PB - Springer ER - TY - BOOK A1 - Borgeest, Kai A1 - Wegener, Georg T1 - Messtechnik und Prüfstände für Verbrennungsmotoren N2 - Messtechnik und Prüfstände für Verbrennungsmotoren helfen, Kraftstoff einzusparen, Treibhausgase und Schadstoffe zu reduzieren, mit kleineren Motoren mehr Leistung abzugeben sowie Komponenten und Betriebsstoffe zu optimieren. Mit den Motoren und der Abgasgesetzgebung entwickelt sich auch die für die Entwicklung erforderliche mechanische, thermodynamische und Abgasmesstechnik weiter. Dieses Buch vermittelt sowohl Studenten, als auch Planern und Betreibern in Industrie und Wissenschaft das nötige umfangreiche Wissen, um Messungen an Motorenprüfständen durchführen zu können. KW - Verbrennungsmotor KW - Prüfstand KW - Messtechnik KW - Verbrennungsmotor, Prüfstand, Messtechnik Y1 - 2016 SN - 978-3-658-10118-3 U6 - https://doi.org/10.1007/978-3-658-10118-3 PB - Springer-Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Bischof, Alex A1 - Bruhm, Hartmut T1 - GIS-basierte Cloud-Services für die Geländeexploration mit kooperierenden autonomen Systemen T2 - GIS Talk 2016 N2 - Am Zentrum für Wissenschaftliche Services und Transfer der Hochschule Aschaffenburg beschäftigt sich eine Arbeitsgruppe mit der kooperativen Exploration von abgegrenzten Geländebereichen mit dem Ziel einer flächendeckenden Kartierung von Umwelt- oder Infrastrukturdaten. Mehrere multisensoriell bestückte autonome Roboter liefern punktbezogene Daten und Rasterdaten, die in ArcGIS fusioniert und kartiert werden. Umgekehrt werden den Explorationsrobotern über Cloud-Services Ausschnitte aus der globalen Karte zur Verfügung gestellt, die diese für die Bahnplanung und Hindernisvermeidung benötigen. KW - Geoinformationssystem KW - GIS KW - Roboter, mobil KW - mobile robot KW - Geoinformationssystem KW - Mobiler Roboter KW - ArcGIS Y1 - 2016 PB - Esri Deutschland GmbH CY - München ER - TY - CHAP A1 - Bruhm, Hartmut A1 - Fischer, Peter A1 - Stark, Hans-Georg T1 - Optimierung der dynamischen Bahntreue eines Industrieroboters durch datenbankgestützten Reglerentwurf T2 - Robotik 2004, VDI-Bericht 1841 KW - Industrieroboter KW - Reglerentwurf KW - Dynamik KW - Optimierung KW - Industrieroboter KW - Reglerentwurf KW - Dynamik KW - Optimierung KW - Regelungstechnik Y1 - 2004 VL - 2004 SP - 511 EP - 518 PB - VDI Verlag ER - TY - CHAP A1 - Bruhm, Hartmut A1 - Fischer, Peter T1 - Sensorische Höhenführung eines Industrieroboters mit verbesserter Dynamik durch Elimination der Steuerungtotzeit T2 - Robotik 2004. Leistungsstand - Anwendungen - Visionen - Trends ; Tagung München, 17. und 18. Juni 2004 KW - Höhenführung KW - Industrieroboter KW - Dynamik KW - Totzeit KW - Industrieroboter KW - Totzeit KW - Dynamik KW - Regelungstechnik Y1 - 2004 VL - 2004 SP - 519 EP - 526 PB - VDI Verlag CY - Düsseldorf ER - TY - BOOK A1 - Borgeest, Kai T1 - Manipulation von Abgaswerten N2 - Dieses kleine Buch stellt Hintergründe zum Abgasskandal dar, z. B. welche Schadstoffe kritisch sind, wie Motorsteuergeräte, Abgasrückführung und Abgasnachbehandlung funktionieren, wie Manipulationen auf dem Prüfstand möglich sind, mit welchen Fahrzyklen getestet wird und in welchem rechtlichen und politischen Umfeld dies lange Zeit unbemerkt mit unterschiedlichen Konsequenzen in der EU und den USA geschehen konnte. Es werden Maßnahmen vorgestellt, mit denen Fahrzeuge auch real gesetzliche Grenzwerte einhalten können und wie Manipulationen zukünftig rechtlich und politisch verhindert werden können. Dem Leser werden durch Literaturhinweise zusätzliche Details erschlossen. KW - Abgasemmission KW - Grenzwert KW - Kraftfahrzeugelektronik KW - Abgase KW - Steuergerät KW - Abgasskandal KW - Abgasrückführung KW - Abschaltfunktion KW - Manipulation KW - Messung KW - Wirtschaftskriminalität Y1 - 2017 SN - 978-3-658-17180-3 PB - Springer-Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Borgeest, Kai A1 - Höfer, Patrik A1 - Seubert, Michael A1 - Stein, Simon T1 - Model Based EGR Control T2 - Proceedings of the Fev Diesel Powertrains 3.0, July 11th & 12th 2017 N2 - Almost stationary control of the correct EGR rate (Exhaust Gas Recirculation) is state of the art. More aggressive emission tests such as WLTP and RDE require a dynamic control of the EGR rate, otherwise a too low EGR rate results in increased NOx emissions, a too high EGR rate in particulate emissions. The difficulty in any EGR control is the missing plant knowledge; the EGR rate is controlled although the present EGR rate is not exactly known. EGR flow sensors are available, but due to additional costs they have not found a broad acceptance. A different approach for high pressure EGR investigated in this paper is a control using a second lambda sensor between EGR and inlet valves. This approach improves the dynamic response, but it might come with costs similar to an EGR flow sensor. Alternatively a model based approach can be used which shows high potential. KW - Exhaust Gas Recirculation KW - Abgasrückführung Y1 - 2017 SP - 64 EP - 66 PB - FEV CY - Aachen ER - TY - CHAP A1 - Wegener, Georg T1 - Concepts and Methods from the Field of Vehicle Dynamics for Safety Considerations of Light Electric Vehicles T2 - LEVS2017 - Light Electric Vehicle Summit, 22-23 November 2017, Rotterdam, Netherlands N2 - Vehicle dynamic considerations regarding the safety of lightweight vehicles need to cover different aspects than those regarding conventional automobiles. New problems and effects require dedicated research and modified methods. The present contribution discusses these new challenges covering aspects like specific vehicle design concepts (e.g. three-wheelers) and the significance of human body mass in relation to the total mass. Some initial simulation results are presented that were gained with an example design of a three-wheeled two seater vehicle. The results show that the seating position and number of passengers have a significant influence on the stability against rollover. Thus they illustrate that the mass of the human body is of importance for the dynamic behaviour of the overall system. The article gives a list of further effects like the stiffness and damping properties of the human body and also the influence of the human as part of the system in terms of control engineering. A strategy is suggested which combines computer simulation and road tests. This strategy minimizes the need for costly testbed experiments for optimizing the simulation models. Particularly when simulation is employed in order to reduce the need for sensors that would require complicated structural modification (e.g. force sensors in suspension components). Ideally, sensor application can be limited to inertial sensors and other positioning sensors like GPS. KW - light electric vehicles KW - vehicle dynamics KW - multi body system simulation KW - inertial sensors KW - model verification KW - Leichtfahrzeug KW - Fahrzeugdynamik Y1 - 2017 ER - TY - BOOK A1 - Borgeest, Kai T1 - EMC and Functional Safety of Automotive Electronics N2 - Experience in automotive industry shows that there are in particular two technical reasons why electronic systems in vehicles do not work as expected: software bugs and electromagnetic interference. Malfunctions are more than a mere annoyance, they can damage cars or other goods, injure people or kill people. This book focuses on electromagnetic compatibility (EMC) keeping a close relation to functional safety as required by ISO 26262. It first introduces functional safety and EMC experts to automotive electronics. Since functional safety is still an emerging field, a primer might be useful to automotive engineers and EMC engineers as well. It then introduces to EMC. Signal and power integrity are topics which share the same fundamentals as EMC and are also relevant in some cases. In automotive industry the V-model is still common to describe a development process. For this reason it is necessary to discuss the model and to integrate the safety life cycle and the EMC design flow into the model. After the lecture the reader should be able to recognize and avoid hazards, to avoid expensive EMC problems, to simulate and test for EMC compliance of the car and its components and to fix problems. It helps to learn automotive EMC and functional safety and will stay a reference book after lecture. The book considers all levels from the whole car down to the single electronic control unit (ECU). EMC on integrated circuit level is considered in a few points which are relevant to vehicles. Additionally the charging infrastructure for electric cars is considered. KW - EMC KW - functional safety KW - automotive electronics KW - Elektromagnetische Verträglichkeit KW - Kraftfahrzeugelektronik Y1 - 2018 SN - 978-1-78561-408-8 PB - IET CY - Stevenage ER - TY - CHAP A1 - Haak, Valentin A1 - Abke, Jörg A1 - Borgeest, Kai T1 - Conception of a LEGO Mindstorms EV3 Simulation for Programming in C in computer science courses T2 - 2018 IEEE Global Engineering Education Conference (EDUCON) KW - LEGO MindStorms Y1 - 2018 U6 - https://doi.org/10.1109/EDUCON.2018.8363269 SN - 2165-9567 SP - 478 EP - 483 PB - IEEE ER - TY - CHAP A1 - Kranz, Tobias A1 - Hahn, Stefan A1 - Zindler, Klaus T1 - Nonlinear Lateral Vehicle Control in Combined Emergency Steering and Braking Maneuvers T2 - IEEE Intelligent Vehicles Symposium 2016, Gothenburg, Sweden, 19-22 June, 2016 Y1 - 2016 U6 - https://doi.org/10.1109/IVS.2016.7535449 VL - 2016 SP - 603 EP - 610 ER - TY - CHAP A1 - Hahn, Stefan A1 - Zindler, Klaus A1 - Jumar, Ulrich T1 - Two-Degrees-of-Freedom Lateral Vehicle Control using Nonlinear Model Based Disturbance Compensation T2 - 8th IFAC Symposium Advances in Automotive Control, Kolmarden, Sweden, 20-23 June, 2016 Y1 - 2016 U6 - https://doi.org/10.1016/j.ifacol.2016.08.028 VL - 49 IS - 11 SP - 182 EP - 189 ER - TY - CHAP A1 - Zindler, Klaus A1 - Geiß, Niklas T1 - Vehicle Ego-Localization in Autonomous Lane-Keeping Evasive Maneuvers T2 - 8th IFAC Symposium Advances in Automotive Control, Kolmarden, Sweden, 20-23 June, 2016 Y1 - 2016 U6 - https://doi.org/10.1016/j.ifacol.2016.08.025 VL - 49 IS - 11 SP - 160 EP - 167 ER - TY - JOUR A1 - Hahn, Stefan A1 - Zindler, Klaus A1 - Jumar, Ulrich T1 - Nichtlineare Spurführung benutzerdefinierter Punkte an der Fahrzeugfront JF - at - Automatisierungstechnik KW - Nichtlineare Regelung KW - Spurführung KW - automatisierter Fahrversuch KW - vorausschauende Sicherheitssysteme KW - Nichtlineare Regelung KW - Spurführung Y1 - 2016 U6 - https://doi.org/10.1515/auto-2015-0098 VL - 64 IS - 4 SP - 282 EP - 296 PB - de Gruyter Oldenbourg CY - München ER - TY - CHAP A1 - Staudt, Stefan A1 - Büdel, Johannes A1 - Kowalski, Thomas A1 - Lang, Klaus A1 - Teigelkötter, Johannes A1 - Stock, Alexander T1 - Optimized Modulation Schemes for the Efficiency Enhancement of Low Voltage Traction Drives T2 - 2017 19th European Conference on Power Electronics and Applications (EPE'17 ECCE Europe) N2 - This paper will present different modulation schemes for optimizing the efficiency of low-voltage traction drives. The converter of the vehicle automatically has to select the most suitable modulation or control scheme depending on the present operating point in order to maximize the efficiency of the complete drive train. Furthermore, the functional principles and algorithms of the individual modulation schemes will be presented, as well as the transition between those schemes. Finally, the performance of the different schemes will be proved by dynamic and stationary tests through fully automatized measurement analysis. KW - Converter machine interactions KW - Electrical machine KW - Direct torque and flux control KW - Measurement KW - ulseWidth Modulation (PWM) KW - Elektrische Maschine KW - Niederspannung KW - Elektroantrieb Y1 - 2017 UR - https://ieeexplore.ieee.org/document/8098998 U6 - https://doi.org/10.23919/EPE17ECCEEurope.2017.8098998 ER - TY - BOOK A1 - Borgeest, Kai T1 - Manipulation von Abgaswerten N2 - Dieses Buch stellt Hintergründe zum Abgasskandal dar, z. B. welche Schadstoffe kritisch sind, wie Motorsteuergeräte, Abgasrückführung und Abgasnachbehandlung funktionieren, wie Manipulationen auf dem Prüfstand möglich sind, mit welchen Fahrzyklen getestet wird und in welchem rechtlichen und politischen Umfeld dies lange Zeit geschehen konnte. Es werden Maßnahmen vorgestellt, mit denen Fahrzeuge auch real Grenzwerte einhalten können und wie Manipulationen zukünftig rechtlich und politisch verhindert werden können. Dem Leser werden durch Literaturhinweise zusätzliche Details erschlossen. KW - Verbrennungsmotor KW - Kraftfahrzeugabgas KW - Motorsteuerung KW - Abgasskandal KW - Abschalteinrichtung KW - EDC Y1 - 2021 SN - 978-3-658-32810-8 VL - 2021 PB - Springer Vieweg CY - Wiesbaden ET - 2., überarbeitete und aktualisierte Auflage ER - TY - CHAP A1 - Sauer, Timm A1 - Zindler, Klaus A1 - Gorks, Manuel A1 - Spielmann, Luca A1 - Jumar, Ulrich T1 - Automatic track guidance of industrial trucks using self-learning controllers considering a priori plant knowledge T2 - IEEE - 5th International Conference on Control Automation and Diagnosis (ICCAD'21), November 3-5, 2021, Grenoble, France N2 - This paper presents a new self-learning control scheme for lateral track guidance of industrial trucks using artificial intelligence. It is an universally applicable lateral dynamic control concept which is able to adapt itself to different truck variants. Moreover it shall consider vehicle parameter variations that occur during operation, such as the load dependent change of vehicle mass and moment of inertia. The proposed approach uses Reinforcement Learning. In order to reduce the training effort, a new concept is realized, taking into account a priori knowledge of vehicle behavior. Its fundamental idea consists of dividing the training process into two steps. In the first step the controller will be pre-trained on basis of a nominal model representing a priori knowledge of lateral dynamic vehicle behavior. Since this model is derived for an industrial truck with average vehicle parameter values, a fine tuning of the control parameters has to be performed in the second step. In this way the controller is adapted to the actual truck variant and the corresponding vehicle parameter values. In order to demonstrate the efficiency of the proposed control scheme, the simulation results given in this paper are compared to the closed loop behavior using standard LQR. KW - Labor für Simulation, Steuerung und Regelung KW - Kooperative Autonome Intralogistik Systeme KW - Flurförderer KW - Spurführung KW - Künstliche Intelligenz Y1 - 2021 ER - TY - CHAP A1 - Sauer, Timm A1 - Gorks, Manuel A1 - Spielmann, Luca A1 - Zindler, Klaus A1 - Jumar, Ulrich T1 - Automatic track guidance of industrial trucks with time-variant vehicle parameters using AI-based controllers T2 - Advanes in Automotive Control - AAC N2 - This paper presents an extension of a self-learning control concept for automatic track guidance of industrial trucks in intralogistic systems. The presented approach is based on Reinforcement Learning (RL), a method of Artificial Intelligence (AI) and is able to adapt itself to different industrial truck variants and the associated specific vehicle parameters. Moreover, time-variant parameters during operation, such as the vehicle's velocity are taken into account. In order to consider the existing a priori knowledge of the controlled system and to avoid starting the whole training process of the controller for each truck variant from scratch, the training process is divided into two steps. In the first step, the controller is trained on a model using parameters of a nominal vehicle variant. Based on this, the control parameters are only finetuned in the second step. In this way the controller is adapted to the actual truck variant and the corresponding parameter values. In order to take into account the time-variant vehicle parameters during operation, the Artificial Neural Networks (ANN) of the RL controller and the observation vector are suitably extended. In this way, the varying speed can be considered in both training steps and the control parameters can be optimized accordingly. Thus, in case of the investigated scenarios a stable control loop behavior can be guaranteed for the entire speed range of industrial trucks. In order to demonstrate this, the new approach is compared with a RL control concept, not considering time-variant parameters. KW - Artificial Intelligence KW - Automatic control KW - Intelligent Transportation Systems KW - Künstliche Intelligenz KW - Flurförderer Y1 - 2022 VL - 2022 ER - TY - CHAP A1 - Sauer, Timm A1 - Spielmann, Luca A1 - Gorks, Manuel A1 - Zindler, Klaus A1 - Jumar, Ulrich T1 - Automatic track guidance of industrial trucks using AI-based controllers with disturbance compensation T2 - 61st Annual Conference of the Society of Instrument and Control Engineers (SICE), 6-9 Sept. 2022, Japan N2 - This paper presents a new control concept for automatic track guidance of industrial trucks in intralogistic systems. It is based on Reinforcement Learning (RL), a method of Artificial Intelligence (AI). The presented approach is able to adapt itself to different industrial truck variants and to the associated specific vehicle parameters. In order to avoid starting the whole training of the controller for each truck variant from scratch, the training process is divided into two steps. In the first step, the controller is trained on a model using parameters of a nominal vehicle variant. Based on this, the control parameters are only fine-tuned in the second step. In this way the controller is adapted to the actual truck variant and the corresponding parameter values. Moreover, the influence of the disturbance variable of the system (path curvature) is compensated by considering this a priori knowledge within the control design. Therefore, the Artificial Neural Networks (ANN) of the RL controller and the observation vector are suitably adjusted. In this way, the occurring path curvatures can be considered in both training steps and the control parameters can be optimized accordingly. Thus, the influence of the disturbance variable can be compensated, which significanlty improves the control quality. In order to demonstrate this, the new approach is compared to a RL control concept, not considering the disturbance variable and to a classical two-degrees-of-freedom (2DoF) control approach. KW - Artificial Intelligence KW - Automatic Control KW - Intelligent Transportation Systems KW - Künstliche Intelligenz KW - Flurförderer Y1 - 2022 ER - TY - JOUR A1 - Büdel, Johannes A1 - Teigelkötter, Johannes A1 - Stock, Alexander A1 - Grilli, Francesco A1 - Benkel, Tara A1 - Hänisch, Jens A1 - Lao, Mayraluna A1 - Reis, Thomas A1 - Berberich, Eva A1 - Wolfstädter, Simon A1 - Schneider, Christian A1 - Miller, Paul A1 - Palmer, Chloe A1 - Glowacki, Bartek A1 - Climente-Alarcon, Vicente A1 - Smara, Anis A1 - Tomkow, Lukasz A1 - Jeunesse, Loic A1 - Staempflin, Martin A1 - Delautre, Guillaume A1 - Zimmermann, Baptiste A1 - van der Woude, Ruud A1 - Perez, Ana A1 - Samoilenkov, Sergey A1 - Molodyk, Alexander A1 - Pardo, Enric A1 - Kapolka, Milan A1 - Li, Shuo A1 - Dadhich, Anang T1 - Superconducting motors for aircraft propulsion: the Advanced Superconducting Motor Experimental Demonstrator project JF - Journal of Physics: Conference Series N2 - The European Union-funded Advanced Superconducting Motor Experimental Demonstrator (ASuMED) project started in May 2017 with the purpose of demonstrating the benefits of a new, fully superconducting motor for reaching the targets established by the Flightpath 2050 plan. The project aims at a motor power density of 20 kW kg−1 using a high-temperature superconducting (HTS) stator. The rotor will use HTS stacks operating like permanent magnets. A highly efficient cryostat for the motor combined with an integrated cryogenic cooling system and associated power converter will be used. This article provides a general overview of the prototype that is currently being assembled and that will be tested soon. KW - Hochtemperatursupraleiter KW - Flugtriebwerk Y1 - 2020 UR - https://iopscience.iop.org/article/10.1088/1742-6596/1590/1/012051 U6 - https://doi.org/10.1088/1742-6596/1590/1/012051 VL - 1590 ER - TY - CHAP A1 - Büdel, Johannes A1 - Teigelkötter, Johannes A1 - Stock, Alexander T1 - Optimized Dual Two-Level Inverter for Safe and Reliable Operation of Machines with Superconductive Stator Windings T2 - 2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe) N2 - This paper aims to present an optimized inverter topology, based on the dual two-level inverter, for feeding an open-end winding electrical machine with superconductive stator windings and a superconductive rotor. In order to achieve a high torque density, the stator windings are built of several superconducting tapes being in parallel. One inverter of the dual two-level inverter is equipped with powerful IGBT semiconductors and supplies the machine with energy. The second inverter is a low voltage MOSFET inverter that monitors the superconductor resistance (quench detection) and balances the current on the parallel superconductive tapes for guaranteeing an optimum operation with respect to the superconductive losses. KW - Elektrische Maschine KW - Wechselrichter Y1 - 2019 UR - https://ieeexplore.ieee.org/document/8915524 SN - 978-1-7281-2361-5 U6 - https://doi.org/10.23919/EPE.2019.8915524 ER - TY - JOUR A1 - Büdel, Johannes A1 - Teigelkötter, Johannes ED - Schäfer, Heinz T1 - Doppelzweipunktwechselrichter für Elektrofahrzeuge - Systemeigenschaften und Steuerung JF - Elektrische Antriebstechnologie für Hybrid- und Elektrofahrzeuge N2 - Im vorliegenden Beitrag wird die Topologie des Doppelzweipunktwechselrichters für die Anwendung in Elektrofahrzeugen vorgestellt. Dazu werden zunächst der Schaltungsaufbau und die spezifischen Schaltungseigenschaften näher erläutert. Anschließend werden relevante Vorteile dieser Topologie für die Anwendung in Elektrofahrzeugen dargestellt. Für die Kombination unterschiedlicher Energiequellen mit Hilfe des Doppelzweipunktwechselrichters werden geeignete Steuerungsstrategien präsentiert und anhand von realen Messungen am Systemprüfstand verifiziert. Mit dem Vorgestellten Verfahren kann die Leistungsaufteilung auf die beiden Energiespeicher und deren Energieaustausch untereinander mit hohem Freiheitsgrad gesteuert werden. KW - Elektrofahrzeug KW - Wechselrichter Y1 - 2019 VL - 2019 IS - 149 SP - 114 EP - 127 ER - TY - BOOK A1 - Borgeest, Kai T1 - Messtechnik und Prüfstände für Verbrennungsmotoren KW - Verbrennungsmotor KW - Prüfstand KW - Messtechnik KW - Kraftfahrzeugtechnik KW - Thermodynamik KW - Regelungstechnik Y1 - 2020 SN - 0000-0003-4289-0083 U6 - https://doi.org/10.1007/978-3-658-29105-1 VL - 2020 PB - Springer-Vieweg CY - Wiesbaden ET - 2. Auflage ER - TY - CHAP A1 - Krini, Mohammed A1 - Madhu, Nilesh T1 - Generalized Refinement of Short-Term Fourier Spectra in Time- and Frequency Domain and its Combination with Polyphase Filterbanks T2 - IEEE International Symposium on Signal Processing and Information Technology (ISSPIT'19), Ajman KW - Filterbank KW - Sprachverarbeitung Y1 - 2019 VL - 2019 ER - TY - CHAP A1 - Krini, Mohammed A1 - Madhu, Nilesh T1 - Improved F0 Estimation by Generalised Spectral Refinement Applied to DFT-Modulated Polyphase Filterbanks T2 - International Symposium on Embedded Computing and System Design, Amrita Vishwa Vidyapeetham KW - Filterbank KW - Signalverarbeitung Y1 - 2019 SN - 9781728141770 ER - TY - CHAP A1 - Borgeest, Kai T1 - Safe Development Environments for Radiation Tracing Robots T2 - Handbook of Research on Advanced Mechatronic Systems and Intelligent Robotics N2 - Robots can substitute for men in radioactively-contaminated areas. This is a suitable field to deploy robots for measurements, repair, or clearance, but development and test of such robots could be dangerous, because radiation sources need to be handled. To avoid these hazards in development or public demonstrations, safe alternatives to radiation samples have been sought using an already existing robot (EtaBot). One proposed solution is an optical substitution (“light follower”), the other one a fully-digital simulation of the contaminated area and the robot movement inside it using a hardware-in-the-loop simulator (HiL). KW - EtaBot KW - Mobile Robot KW - Mobiler Roboter KW - Künstliche Intelligenz Y1 - 2019 SN - 9781799801375 U6 - https://doi.org/doi.org/10.4018/978-1-7998-0137-5.ch006 SP - 126 EP - 138 PB - IGI Global CY - Hershey, PA ER - TY - JOUR A1 - Rajan, Vasudev Kandade A1 - Krini, Mohammed A1 - Schmidt, Gerhard T1 - Signal Processing Techniques for Seat Belt Micro-phone Arrays JF - EURASIP Journal on Advances in Signal Processing KW - Signalverarbeitung KW - Sicherheitsgurt KW - Mikrofon KW - Array Y1 - 2016 VL - 2016 ER - TY - CHAP A1 - Krini, Mohammed A1 - Mirza, Zafar Baig A1 - Rodemer, Klaus T1 - A Practical Beamformer-Postfilter System for Microphone Arrays on Seat Belts T2 - 12. ITG Symposium Speech Communication (ITG’16), Paderborn KW - Sicherheitsgurt KW - Mikrofon KW - Array Y1 - 2016 VL - 2016 ER - TY - CHAP A1 - Krini, Mohammed T1 - Refinement Methods as Preprocessing or Postprocessing for Short-Term Spectra Analysis T2 - 19th Electronic Speech Signal Processing Conference (ESSV ’17), Saarbrücken KW - Frequenzanalyse Y1 - 2017 VL - 2017 ER - TY - CHAP A1 - Herbert, Matthias A1 - Mirza, Zafar Baig A1 - Krini, Mohammed T1 - Real-Time Implementation of an Adaptive Beamformer-Postfilter System for Seat belt Microphones on Sharc ADSP-21489 T2 - 44th German Annual Conference on Acoustics (DAGA’18), München KW - Sicherheitsgurt KW - Mikrofon Y1 - 2018 VL - 2018 ER - TY - CHAP A1 - Krini, Mohammed A1 - Mirza, Zafar Baig T1 - An Adaptive Beamformer-Postfilter System for Seat belt Microphones and its Efficient Implementation on Sharc ADSP-21489 T2 - 16th IEEE International Workshop on Acoustic Signal Enhancement (IWAENC ’18), Chiyoda, Tokyo KW - Sicherheitsgurt KW - Mikrofon Y1 - 2018 VL - 2018 ER - TY - CHAP A1 - Seitz, Christopher A1 - Krini, Mohammed T1 - Schätzung der Spektralen Einhüllenden - Ein Vergleich von Tiefen Neuronalen Netzen und Codebüchern T2 - 20th Electronic Speech Signal Processing Conference (ESSV ’19), Dresden KW - Sprachverarbeitung KW - Neuronales Netz Y1 - 2019 VL - 2019 ER - TY - CHAP A1 - Seitz, Christopher A1 - Krini, Mohammed T1 - Spectral Envelope Estimation Based on Deep Neural Networks and its use for Speech Reconstruction T2 - 45th German Annual Conference on Acoustics (DAGA’19), Rostock KW - Sprachverarbeitung KW - Neuronales Netz Y1 - 2019 ER - TY - CHAP A1 - Krini, Mohammed A1 - Rachor, Alexander T1 - DFT-Filterbanks with Spectral Refinement and its Comparison with Polyphase Filterbanks T2 - 23rd International Congress on Acoustics (ICA'19), Aachen KW - Filterbank KW - Diskrete Fourier-Transformation Y1 - 2019 VL - 2019 ER - TY - CHAP A1 - Seitz, Christopher A1 - Krini, Mohammed T1 - DNNs versus Codebooks based Spectral Envelope Estimation for Partial Reconstruction of Speech Signals T2 - Workshop on Speech and Audio in the Northeast (SANE’19), New York KW - Sprachverarbeitung KW - Sprachsignal Y1 - 2019 VL - 2019 ER - TY - CHAP A1 - Graessler, Iris A1 - Dattner, Michael A1 - Bothen, Martin T1 - Main Feature List as core success criteria of organizing Requirements Elicitation T2 - R&D Management Conference, Milan, Italy 30. Juni - 4. Juli 2018 N2 - Innovation process and innovation output is positively affected by adequate reference models and supporting means. For this reason, a New V-Model for mechatronic and smart systems has been worked out by the Technical Committee VDI GMA 4.10 "Interdisciplinary Product Creation". Thus, the directive VDI 2206 "Development methodology for mechatronic systems" from the year 2004 (VDI 2206 2004) is being revised and adapted to the actual trend towards digital transformation of technical systems, business models and ecosystems. The core of the guideline is the V-Model describing mechatronic engineering (VDI 2206 2004). One core success criterium of organizing Requirements Elicitation is the established main feature list first published by Pahl and Beitz (Pahl et al. 1996). Based on this, a new Main Feature List enhanced for the usage in requirements elicitation of mechatronic and smart products is proposed. This Enhanced Main Feature List comprises additional requirements such as sampling rate, bus system, big data usage and fosters result quality and efficiency of requirements elicitation. This was proven and validated by applying it to Inline spectral measurement systems in the printing industry. The proposed Enhanced Main Feature List establishes new fundamentals in research and theory. KW - Mechatronik KW - Systementwicklung Y1 - 2018 ER - TY - GEN A1 - Zindler, Klaus T1 - Wohin steuert das automatisierte Fahren? N2 - Vortrag KW - Autonomes Fahren KW - Autonomes Fahrzeug Y1 - 2018 ER - TY - CHAP A1 - Zindler, Klaus T1 - Welcome & Key Research Areas of Aschaffenburg University of Applied Sciences T2 - Proceedings of International Research Days KW - Key Research Areas KW - Hochschule Aschaffenburg KW - Forschung Y1 - 2021 ER - TY - CHAP A1 - Zindler, Klaus A1 - Sauer, Timm T1 - Self learning control for automatic track guidance T2 - Proceedings of International Research Days KW - automatic track guidance KW - self learning control KW - Artificial Intelligence KW - automated vehicle guidance KW - Autonomes Fahrzeug Y1 - 2021 VL - 2021 SP - 64 EP - 64 ER - TY - BOOK A1 - Borgeest, Kai T1 - Elektronik in der Fahrzeugtechnik N2 - Das Buch vermittelt die Grundlagen, um die Besonderheiten der Elektronik und Software im Kfz nicht nur zu kennen, sondern auch zu verstehen. Zusätzlich wird an Beispielen die Komplexität realer Systeme im Fahrzeug vorgeführt und gezeigt, welche Anwendungen durch die Elektronik erst möglich werden. Das Spannungsfeld zwischen Sicherheit, Zuverlässigkeit und Komplexität prägt in Verbindung mit branchenüblichen Abläufen das Vorgehen bei der Entwicklung, das ein in diesem Bereich tätiger Ingenieur verstehen muss. KW - Kraftfahrzeugelektronik KW - Kfz-Elektronik KW - Automobilelektronik KW - Steuergerät KW - Motorsteuerung KW - Fahrzeugtechnik Y1 - 2020 SN - 978-3-658-23663-2 U6 - https://doi.org/10.1007/978-3-658-23664-9 PB - Springer Vieweg CY - Wiesbaden ER - TY - BOOK A1 - Borgeest, Kai T1 - Manipulation von Abgaswerten N2 - Dieses kleine Buch stellt Hintergründe zum Abgasskandal dar, z. B. welche Schadstoffe kritisch sind, wie Motorsteuergeräte, Abgasrückführung und Abgasnachbehandlung funktionieren, wie Manipulationen auf dem Prüfstand möglich sind, mit welchen Fahrzyklen getestet wird und in welchem rechtlichen und politischen Umfeld dies lange Zeit unbemerkt mit unterschiedlichen Konsequenzen in der EU und den USA geschehen konnte. Es werden Maßnahmen vorgestellt, mit denen Fahrzeuge auch real gesetzliche Grenzwerte einhalten können und wie Manipulationen zukünftig rechtlich und politisch verhindert werden können. Dem Leser werden durch Literaturhinweise zusätzliche Details erschlossen. KW - Abgasemmission KW - Grenzwert KW - Kraftfahrzeugelektronik KW - Messung KW - Wirtschaftskriminalität KW - Abgas KW - Steuergerät KW - Verbrennungsmotor KW - Stickstoffoxide KW - Betrug Y1 - 2023 SN - 978-3-658-41304-0 U6 - https://doi.org/https://doi.org/10.1007/978-3-658-41305-7 PB - Springer Vieweg CY - Wiesbaden ER - TY - JOUR A1 - Sauer, Timm A1 - Gorks, Manuel A1 - Spielmann, Luca A1 - Zindler, Klaus T1 - Automatische Spurführung von Flurförderzeugen mittels KI JF - ATZ heavyduty N2 - Im Verbundprojekt KAnIS forscht die TH Aschaffenburg mit Linde Material Handling an neuen KI-basierten Algorithmen zur querdynamischen Fahrzeugführung von Flurförderzeugen. Ziel des Projekts ist die Entwicklung eines universell einsetzbaren Regelungskonzepts, das verschiedene Arten von Flurförderzeugen automatisch führt, im Betrieb auftretenden Fahrzeugparameterschwankungen gezielt Rechnung trägt und darüber hinaus auch den jeweiligen Fitnesszustand der Fahrzeuge berücksichtigt. KW - Flurförderer KW - Künstliche Intelligenz Y1 - 2022 VL - 15 IS - 04/2022 SP - 44 EP - 47 ER - TY - JOUR A1 - Zindler, Klaus A1 - Sauer, Timm A1 - Spielmann, Luca A1 - Gorks, Manuel T1 - Chancen durch kooperative Logistikflotten JF - Fördern und Heben N2 - In Zeiten einer globalen Weltwirtschaft und einem von zunehmendem Wettbewerb geprägten Markt ist die Automatisierung logistischer Prozesse eine Voraussetzung für den Unternehmenserfolg. Vor allem die Steigerung der Produktivität und der Effizienz des innerbetrieblichen Materialflusses nimmt einen hohen Stellenwert ein. Mit dem Einsatz automatisch fahrender Flurförderzeuge (FFZ) lässt sich dies erreichen. Als Vision sollten jedoch nicht einzelne automatisch fahrende FFZ gelten. Ziel muss es sein, die Mitglieder einer heterogenen Logistikflotte miteinander zu vernetzen und eine Kommunikations- und Rechenplattform einzurichten. Dies bietet ein großes Potenzial im Hinblick auf die Auftragsplanung zur Verbesserung der Wirtschaftlichkeit sowie in den Bereichen Lokalisierung und Sicherheit zur Optimierung automatisch fahrender FFZ. KW - Flurförderer KW - Autonomes Fahrzeug Y1 - 2022 VL - 2022 IS - 10 SP - 36 EP - 40 ER - TY - JOUR A1 - Sauer, Timm A1 - Gorks, Manuel A1 - Spielmann, Luca A1 - Zindler, Klaus A1 - Jumar, Ulrich T1 - Adaptive self-learning controllers with disturbance compensation for automatic track guidance of industrial trucks JF - SICE Journal of Control, Measurement and System Integration N2 - This paper presents an extended control concept for automatic track guidance of industrial trucks in intralogistic systems. It is based on Reinforcement Learning (RL), a method of Artificial Intelligence (AI). The presented approach is able to adapt itself to different industrial truck variants and to the associated specific vehicle parameters. In order to avoid starting the whole training of the controller for each truck variant from scratch, the training process is divided into two steps. In the first step, the controller is trained on a simplified linear model using parameters of a nominal vehicle variant. Based on this, the control parameters are only fine-tuned in the second step using a more complex nonlinear model, representing the real industrial truck. In this way, the controller is adapted to the actual truck variant and the corresponding parameter values. By using the nonlinear model, it can be ensured that the forklift’s dynamic is approximated within the entire operating range, even at high steering angles. Moreover, the influence of the disturbance variable of the system (path curvature) is compensated by considering this a priori knowledge within the control design. Therefore, the Artificial Neural Networks (ANN) of the RL controller and the observation vector are suitably adjusted. In this way, the occurring path curvatures can be considered in both training steps and the control parameters can be optimized accordingly. Thus, the influence of the disturbance variable can be compensated, which significantly improves the control quality. In order to demonstrate this, the new approach is compared to an RL control concept, which is not considering the disturbance variable and to a classical two-degrees-of-freedom (2DoF) control approach. KW - Flurförderer KW - Spurführung KW - Künstliche Intelligenz Y1 - 2023 U6 - https://doi.org/10.1080/18824889.2023.2183009 VL - 2023 IS - Vol. 16, No. 1 SP - 84 EP - 97 ER - TY - CHAP A1 - Sauer, Timm A1 - Spielmann, Luca A1 - Gorks, Manuel A1 - Zindler, Klaus A1 - Jumar, Ulrich T1 - Model Predictive Control of Industrial Trucks with AI-based Plant Model Selection T2 - 9th International Conference on Control, Decision and Information Technologies (CoDIT) N2 - In this paper, a new control concept for automatic track guidance of forklifts within a heterogeneous logistics fleet is presented. The proposed control scheme is universally applicable and based on Artificial Intelligence (AI). The lateral control is realized using a Model Predictive Controller (MPC). In order to take into account the diversity of the industrial truck variants, a multi-model approach is used. Therefore, a plant model for each truck variant is integrated into the MPC. In a practical application, the most suitable model has to be selected. This decision is based on AI in the form of an Artificial Neural Network (ANN). It is able to distinguish the different truck variants based on that part of the plant's state vector, which represents the vehicle dynamic characteristics. Thus, the appropriate model can be used, which significantly improves the control quality and guarantees an accurate track guidance of different forklifts. Due to the AI-based selection of the model, the computational effort can be kept low and real-time capability can be ensured. In order to classify the performance of the proposed control concept, its simulation results are compared to the closed-loop behavior, using a classical MPC. KW - automatic control KW - robust control KW - AI KW - ANN KW - Flurförderer KW - Künstliche Intelligenz Y1 - 2023 UR - https://ieeexplore.ieee.org/abstract/document/10284427 U6 - https://doi.org/10.1109/CoDIT58514.2023.10284427 VL - 2023 IS - Conference Proceedings SP - 263 EP - 268 ER - TY - BOOK A1 - Borgeest, Kai T1 - Elektronik in der Fahrzeugtechnik: Hardware, Software, Systeme und Projektmanagement N2 - Das Buch vermittelt die Grundlagen, um die Besonderheiten der Elektronik und Software im Kfz nicht nur zu kennen, sondern auch zu verstehen. Zusätzlich wird an Beispielen die Komplexität realer Systeme im Fahrzeug vorgeführt und gezeigt, welche Anwendungen durch die Elektronik erst möglich werden. Das Spannungsfeld zwischen Sicherheit, Zuverlässigkeit und Komplexität prägt in Verbindung mit branchenüblichen Abläufen das Vorgehen bei der Entwicklung, das ein in diesem Bereich tätiger Ingenieur verstehen muss. KW - Kraftfahrzeugelektronik KW - Kfz-Elektronik KW - Steuergerät KW - CAN-Bus Y1 - 2023 SN - 978-3658414825 U6 - https://doi.org/https://doi.org/10.1007/978-3-658-41483-2 PB - ‎Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Sauer, Timm A1 - Gorks, Manuel A1 - Spielmann, Luca A1 - Hepp, Nils A1 - Zindler, Klaus A1 - Jumar, Ulrich T1 - AI-based control approaches for lateral vehicle guidance of industrial trucks T2 - IFAC WC 2023 – The 22nd World Congress of the International Federation of Automatic Control 2023, Yokohama, Japan, 09.07.2023 - 14.07.2023 N2 - Two different control concepts for the automatic track guidance of forklifts are proposed. Both approaches are based on Reinforcement Learning (RL), a method of Artificial Intelligence (AI), and are able to take into account time-variant parameters, such as the vehicle velocity, and to reduce the influence of the path curvature, the most important disturbance variable of lateral vehicle control. In the first approach, both, the path curvature and the vehicle velocity signal, are provided to the controller in addition to the state variables of the controlled system. By varying the corresponding parameters in the training process, both signals can be considered and the control parameters can be optimized accordingly. In the second approach, several controllers (multi-model concept) considering the path curvature are used and the varying vehicle velocity is taken into account using a gain-scheduling concept. Considering time-variant vehicle parameters and the influence of the disturbance variable during operation, a stable track guidance is guaranteed within the whole speed range of the industrial trucks. KW - Artificial intelligence, Lateral vehicle control, Intelligent transportation systems KW - Flurförderer KW - Künstliche Intelligenz Y1 - 2023 UR - https://www.sciencedirect.com/science/article/pii/S2405896323019092 U6 - https://doi.org/https://doi.org/10.1016/j.ifacol.2023.10.1501. ER - TY - CHAP A1 - Büdel, Johannes A1 - Kuhlmann, Kai A1 - Teigelkötter, Johannes T1 - Improved DC-Charging for Traction Drives with Hybrid Powered Dual Two-Level Inverter T2 - 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe) N2 - This contribution aims to present a new concept for power sharing of traction drives supplied by local DC grids such as partly or full equipped trolley wire nets. Therefore, a dual two-level inverter with two separate energy storages and an open-end winding machine is used. New control algorithms allow the charging of the energy sources whether two batteries, a combination of a battery and a fuel cell or a combination of battery and a flying capacitor is used. Within the scope of battery performance, this application is able to absorb or deliver the required power from a DC grid and still feed the electrical machine to enable a driving movement of the electric vehicle. As the presented concepts enable voltage balancing due to different battery loads and the use of only one dynamic energy storage in the charging operation, the shown application aims to achieve the high utilization of an electric vehicle powered by a (partly equipped) DC-grid. KW - Wechselrichter KW - Elektroantrieb KW - Elektrofahrzeug KW - Batteriefahrzeug Y1 - 2024 UR - https://ieeexplore.ieee.org/document/10264409 U6 - https://doi.org/10.23919/EPE23ECCEEurope58414.2023.10264409 ER - TY - CHAP A1 - Büdel, Johannes A1 - Teigelkötter, Johannes A1 - Kuhlmann, Kai T1 - Stoßstromversuche zur Qualifizierung von sicherheitsrelevanten Komponenten im Antriebsstrang eines Elektrofahrzeuges T2 - Testen und Validieren elektrischer Antriebsstränge 2023 N2 - Progress in the development of traction batteries requires high-performance test benches to qualify the safety-relevant components in the battery management system (BMS) for use in electric vehicles. Since all possible fault cases under all permissible operating conditions must be covered during qualification, only synthetic test circuits, in which a test requires only a short setup time, are used for this task. In this paper, an n-stage surge current generator for the generation of high short-circuit currents is presented. Using the example of a four-stage resonant circuit surge current converter, the advantages of this test circuit are explained and demonstrated by measurements. Furthermore, instructions for measuring the surge currents are given. KW - Elektrofahrzeug KW - Elektroantrieb Y1 - 2023 U6 - https://doi.org/doi.org/10.51202/9783181024126 ER - TY - CHAP A1 - Büdel, Johannes A1 - Herkommer, Christian A1 - Kuhlmann, Kai A1 - Teigelkötter, Johannes T1 - Advanced DC-charging Methods for Traction Drives with Dual Two-Level Inverter During Machine Operation T2 - 2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe) N2 - This paper aims to present a concept and especially developed control methods for an open-end winding traction drive, powered by a dual two-level inverter, where the two separate energy sources can be charged via a DC grid during operation and while being standstill. For achieving a high quality DC-current, the parasitic Back-EMF harmonics of the electrical machine will be compensated. The application aims to achieve high utilisation of the electric vehicle in combination with a partly equipped trolley wire net. KW - Wechselrichter KW - Elektroantrieb KW - Elektrofahrzeug Y1 - 2021 U6 - https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570611 ER - TY - CHAP A1 - Weidl, Galia A1 - Berres, Stefan A1 - Madsen, Anders L. A1 - Daxenberger, Johannes A1 - Aulbach, Anegret T1 - Exploring Argument Mining and Bayesian Networks for Assessing Topics for City Project Proposals T2 - Proceedings of Machine Learning Research N2 - The digital transformation of cities inspired the city administration of Aschaffenburg, Germany, to apply artificial intelligence to reduce the significant amount of manual administrative effort needed to evaluate citizens’ ideas for potential future projects. This paper introduces a methodology that combines argument mining with Bayesian networks to evaluate the relative eligibility of city project proposals. The methodology involves two main steps: (1) clustering arguments extracted from public information available on the Internet, and (2) assessing and comparing selected urban issues, planning topics, and citizens’ ideas that have been widely discussed to measure public interest in potential candidate projects. The results of the clustering are fed into a Bayesian network, along with scores for several evaluation criteria, to generate a relative eligibility score. The framework was applied to three candidate projects, resulting in the selection of one of them, while the other two were rejected with a given explanation. The latter motivates the decision and provides transparency to all parties involved in the decision process. The methodology is applicable to other cities after adjustments of criteria. KW - Bayesian networks KW - argument mining KW - project evaluation KW - urban planning KW - Projektplanung KW - Stadtverwaltung Y1 - 2024 UR - https://proceedings.mlr.press/v246/weidl24a.html VL - 2024 IS - 246 SP - 438 EP - 451 ER - TY - CHAP A1 - Madsen, Anders L. A1 - Weidl, Galia T1 - Bayes’sche Netze als Methode zur Implementierung transparenter, erklärbarer und vertrauenswürdiger Künstlicher Intelligenz T2 - Vertrauen in Künstliche Intelligenz - Eine multi-perspektivische Betrachtung N2 - Dieser Beitrag betrachtet die Verwendung von Bayes’schen Netzen als Methode zur Implementierung von transparenter, erklärbarer und vertrauenswürdiger Künstlicher Intelligenz (KI). Er beginnt mit einer Darstellung und Diskussion von Schlüsselkonzepten im Zusammenhang mit der Verwendung von Methoden der Künstlichen Intelligenz und der Implementierung von erklärbarer und vertrauenswürdiger KI. Der Beitrag diskutiert mehrere Konzepte aus dem Bereich der Bayes’schen Netze, die für die praktische Anwendung dieser Modelle in Systemen mit KI relevant sind. Zu den betrachteten Konzepten gehören unter anderem der Bayes-Faktor, die wahrscheinlichste Erklärung und die relevanteste Erklärung. Der Beitrag endet mit einem Fallbeispiel aus dem Bereich des automatisierten Fahrens, das veranschaulicht, wie transparente und erklärbare KI mithilfe von Bayes’schen Netzen umgesetzt werden kann, um eine vertrauenswürdige Lösung zu schaffen. KW - Bayes'sche Netze KW - Künstliche Intelligenz KW - Automatisiertes Fahren KW - Mischverkehr KW - Künstliche Intelligenz KW - Bayes-Netz KW - Autonomes Fahrzeug Y1 - 2024 UR - https://link.springer.com/chapter/10.1007/978-3-658-43816-6_8 SP - 139 EP - 162 PB - Springer Verlag ER - TY - CHAP A1 - Raiyn, Jamal A1 - Chaar, Mohamad Mofeed A1 - Weidl, Galia T1 - Analysis of Driving Behavior in Adverse Weather Conditions T2 - IEEE 7th International Conference AND workshop in Óbuda on Electrical and Power Engineering (CANDO EPE 2024) N2 - This paper discusses the impact of Connected Cooperative and Automated Mobility (CCAM) on safety-critical events. The replacement of human drivers by autonomous vehicles (AVs) is promising improved traffic efficiency and reduction of car- crashes to zero using a baseline network traffic. Predicting driving behavior during car-following has been crucial for enhancing road safety while developing advanced driver assistance systems with adaptive cruise control. Human factors significantly influence the driving behavior of a vehicle. Thus, understanding the causal relations between human factors and driving behavior is essential for accurate prediction of vehicle behavior. This is important when autonomous vehicles are expected to behave (cooperatively, according to traffic rules and good praxis) in a human predictable manner, while driving in mixed traffic, involving autonomous, automated, and human driven vehicles. In this paper, we propose a methodology that combines convolutional neural networks (CNNs) with human factors analysis to predict driving behavior during car-following under adverse weather conditions (AWCs). KW - Autonomes Fahrzeug KW - Fahrerassistenzsystem KW - Wetter Y1 - 2024 UR - https://www.researchgate.net/publication/385591980_ANALYSIS_OF_DRIVING_BEHAVIOR_IN_ADVERSE_WEATHER_CONDITIONS ER - TY - INPR A1 - Chaar, Mohamad Mofeed A1 - Raiyn, Jamal A1 - Weidl, Galia T1 - Improving the Perception of Objects under Foggy Conditions in the Surrounding Environment N2 - Autonomous Driving (AD) technology has rapidly advanced in recent years. Some challenges remain, particularly in ensuring robust performance under adverse weather conditions, like heavy fog. To address this, we propose a multi-class fog density classification approach to enhance the performance of AD systems. By dividing the fog density into multiple classes (25\%, 50\%, 75\%, and 100\%) and generating separate data-sets for each class using the Carla simulator, we can independently improve perception for each fog density and examine the effects of fog at each level. This approach offers several advantages, including improved perception, targeted training, and enhanced generalizability. The results show improved perception of objects from the categories: cars, buses, trucks, vans, pedestrians, and traffic lights. Our multi-class fog density approach is a promising step towards achieving robust AD system performance under adverse weather conditions. KW - Autonomes Fahrzeug KW - Wetter KW - Sicht Y1 - 2024 U6 - https://doi.org/https://doi.org/10.21203/rs.3.rs-3821656/v1 PB - Research Square Platform LLC ER - TY - CHAP A1 - Raiyn, Jamal A1 - Weidl, Galia T1 - Assessing Inattentiveness and Human Elements in Critical Driving Safety Events T2 - 9th European Congress on Computational Methods in Applied Sciences and Engineering 3-7 June 2024, Lisboa, Portugal N2 - Road accidents, with their potential for severe consequences, pose an ongoing global challenge. Within the multitude of factors contributing to these incidents, inattentiveness and the intricate human elements inherent in driving behaviors stand out as pivotal. As indicated by reports and studies on traffic safety, a significant share of accidents can be attributed to driver inattentiveness, encompassing activities such as texting, talking on the phone, or simply being distracted by the surrounding environment. Beyond these observable behaviors lie complex human elements, influenced by factors ranging from cognitive processes to emotional states, which significantly contribute to the occurrence and severity of critical safety events. Inattentiveness is defined as a state in which a driver's eye gaze behavior deviates from attentive driving patterns. It can be influenced by human factors and adverse weather conditions, serving as an indicator of an increased risk of inattentiveness and the potential to contribute to safety-critical events on the road. Recognition of inattentiveness occurs when the average gaze duration on the road or critical areas falls below a specified threshold. The driver's response time is crucial to the braking process of the vehicle and, therefore, has a significant impact on safety in critical situations. KW - Fahrerassistenzsystem KW - Aufmerksamkeit Y1 - 2024 UR - https://www.researchgate.net/publication/381283484_Assessing_Inattentiveness_and_Human_Elements_in_Critical_Driving_Safety_Events ER - TY - CHAP A1 - Talluri, Kranthi Kumar A1 - Weidl, Galia T1 - Impact of Accidents on Traffic Congestions: A Bayesian Network Approach Using Real City Data T2 - Advances in Transdisciplinary Engineering N2 - Traffic congestion has been a major concern in urban areas due to its strong impact on various social, economic, and human safety sectors. Understanding the relationship and analyzing the trends and patterns between congestion and accidents can strengthen the strategy for reducing traffic congestion. Research on causes of accidents and their impact on congestion has recently been explored on a greater scale, but there is still a lot of scope for vast areas of improvement. To tackle this issue, we built a Bayesian Network (BN) model for analyzing and predicting congestion probability that can occur due to accidents. In this work, the complexity of handling real data obtained from Darmstadt city is described in detail. The accidents and congestion are correlated by introducing a novel threshold-based approach, which identifies congestion based on the change in vehicle density immediately following an accident. Different thresholds are explored to determine the most reliable measure of congestion, with the T4 threshold emerging as the optimal choice. Moreover, the proposed BN model is evaluated against several machine learning models, demonstrating competitive performance and its ability to understand the root cause of traffic congestion. KW - Verkehrsstau KW - Verkehrsunfall KW - Bayes-Netz KW - Maschinelles Lernen Y1 - 2024 SN - 9781643685601 U6 - https://doi.org/10.3233/ATDE241181 SN - 2352-751X IS - 63 SP - 64 EP - 78 PB - IOS Press ER - TY - BOOK A1 - Borgeest, Kai T1 - Manipulation of Exhaust Gas Values N2 - This booklet presents background information on the exhaust gas scandal, e. g. pollutants, engine control units, exhaust gas recirculation, exhaust gas aftertreatment, which driving cycles are used for testing, how manipulations on the test bench are possible and in which legal and political environment this happened unnoticed. Measures are presented, how vehicles can comply with legal limits and how manipulations can be prevented legally and politically in future. KW - Kraftfahrzeug KW - emissions KW - Abgasemmission KW - Messung KW - Manipulation Y1 - 2024 UR - https://link.springer.com/book/10.1007/978-3-658-45864-5 SN - 978-3-658-45863-8 U6 - https://doi.org/10.1007/978-3-658-45864-5 PB - Springer Vieweg CY - Wiesbaden ER - TY - BOOK A1 - Borgeest, Kai A1 - Hu, Xingyu A1 - Wang, Yuanteng T1 - 汽车电子系统电磁兼容与功能安全 T2 - Elektromagnetische Verträglichkeit und funktionale Sicherheit von elektronischen Systemen in Kraftfahrzeugen KW - Kraftfahrzeug KW - Elektromagnetische Verträglichkeit KW - Kraftfahrzeugelektronik Y1 - 2020 SN - 9787111656234 PB - China Machine Press ER - TY - BOOK A1 - Borgeest, Kai T1 - 汽车电子技术:硬件、软件、系统集成和项目管理 T2 - Automobilelektronik: Hardware, Software, Systemintegration und Projektleitung KW - Kraftfahrzeugelektronik KW - Steuergerät Y1 - 2014 SN - 978-7-111-45011-5 PB - China Machine Press ER - TY - CHAP A1 - Reichert, Hannes A1 - Hetzel, Manuel A1 - Schreck, Steven A1 - Doll, Konrad A1 - Sick, Bernhard T1 - Sensor Equivariance by LiDAR Projection Images T2 - 2023 IEEE Intelligent Vehicles Symposium (IV) KW - Bildverarbeitung KW - Sensor Y1 - 2023 U6 - https://doi.org/https://doi.org/10.1109/IV55152.2023.10186817 SP - 1 EP - 6 PB - IEEE ER - TY - CHAP A1 - Reichert, Hannes T1 - Sensor Equivariance for Active Road User Safety BT - Doctoral Dissertation Colloquium 2023 T2 - Organic Computing KW - Autonomes Fahrzeug KW - Bildverarbeitung Y1 - 2024 VL - 2024 SP - 241 EP - 252 PB - Kassel University Press CY - Kassel ER - TY - CHAP A1 - Hetzel, Manuel A1 - Reichert, Hannes A1 - Reitberger, Günther A1 - Fuchs, Erich A1 - Doll, Konrad A1 - Sick, Bernhard T1 - The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset T2 - 2023 IEEE Intelligent Vehicles Symposium (IV) KW - Autonomes Fahrzeug KW - Sensortechnik Y1 - 2023 U6 - https://doi.org/https://doi.org/10.1109/IV55152.2023.10186776 SP - 1 EP - 7 PB - IEEE ER - TY - CHAP A1 - Köhler, Sebastian A1 - Goldhammer, Michael A1 - Bauer, Sebastian A1 - Doll, Konrad A1 - Brunsmann, Ulrich A1 - Dietmayer, Klaus T1 - Early Detection of the Pedestrian’s Intention to Cross the Street T2 - 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012), Anchorage, Alaska, USA. KW - Fahrerassistenzsystem KW - Bildverarbeitung Y1 - 2012 UR - http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Koehler12-EDO.pdf U6 - https://doi.org/10.1109/ITSC.2012.6338797 SP - 1759 EP - 1764 ER - TY - PAT A1 - Reichert, Hannes A1 - Doll, Konrad T1 - An image encoding method for recording projection information of two-dimensional projections KW - Bildsignal KW - Codierung KW - Bildgebendes Verfahren Y1 - 2023 ER - TY - CHAP A1 - Hetzel, Manuel A1 - Reichert, Hannes A1 - Doll, Konrad A1 - Sick, Bernhard T1 - Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications T2 - Computer Vision – ECCV 2024 Workshops, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XVII KW - Autonomes System KW - Mensch-Maschine-Kommunikation Y1 - 2025 SN - 9783031915840 U6 - https://doi.org/https://doi.org/10.1007/978-3-031-91585-7_9 SN - 0302-9743 SP - 135 EP - 152 PB - Springer Nature CY - Cham ER - TY - CHAP A1 - Hetzel, Manuel A1 - Reichert, Hannes A1 - Doll, Konrad A1 - Sick, Bernhard T1 - Smart Infrastructure: A Research Junction T2 - 2021 IEEE International Smart Cities Conference (ISC2) KW - Autonomes Fahrzeug KW - Kreuzung Y1 - 2021 U6 - https://doi.org/https://doi.org/10.1109/ISC253183.2021.9562809 SP - 1 EP - 4 PB - IEEE ER - TY - CHAP A1 - Goldhammer, Michael A1 - Köhler, Sebastian A1 - Doll, Konrad A1 - Sick, Bernhard T1 - Track-Based Forecasting of Pedestrian Behavior by Polynomial Approximation and Multilayer Perceptrons T2 - Intelligent Systems and Applications - Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2015 N2 - We present an approach for predicting continuous pedestrian trajectories over a time horizon of 2.5 s by means of polynomial least squares approximation and multilayer perceptron (MLP) artificial neural networks. The training data are gathered from 1075 real urban traffic scenes with uninstructed pedestrians including starting, stopping, walking and bending in. The polynomial approximation provides an extraction of the principal information of the underlying time series in the form of the polynomial coefficients. It is independent of sensor parameters such as cycle time and robust regarding noise. Approximation and prediction can be performed very efficiently. It only takes 35 ms on an Intel Core i7 CPU. Test results show 28% lower prediction errors for starting scenes and 32% for stopping scenes in comparison to applying a constant velocity movement model. Approaches based on MLP without polynomial input or Support Vector Regression (SVR) models as motion predictor are outperformed as well. KW - Fußgänger KW - Verkehrsverhalten KW - Prognose Y1 - 2016 SN - 978-3-319-33386-1 SP - 259 EP - 279 PB - Springer International Publishing ER - TY - CHAP A1 - Kempf, Johannes A1 - Doll, Konrad T1 - Modulare Hardware-Software Bildverarbeitungsplattform am Beispiel einer Vordergrund-Hintergrundtrennung T2 - 45. MPC-Workshop, Albstadt-Sigmaringen KW - Field programmable gate array KW - Bildverarbeitung Y1 - 2011 UR - https://www.mpc-gruppe.de/de/workshopbaende.html?file=files/content/workshops-volums/MPC_Workshopband_45.pdf SN - 1868-9221 IS - 45 SP - 19 EP - 24 ER - TY - CHAP A1 - Weimer, Daniel A1 - Köhler, Sebastian A1 - Hellert, Christian A1 - Doll, Konrad A1 - Brunsmann, Ulrich A1 - Krzikalla, Roland T1 - GPU Architecture for Stationary Multisensor Pedestrian Detection at Smart Intersections T2 - IEEE Intelligent Vehicles Symposium, Baden Baden, Germany KW - Fahrerassistenzsystem KW - Bildverarbeitung Y1 - 2014 U6 - https://doi.org/10.1109/IVS.2011.5940411 SP - 89 EP - 94 PB - IEEE ER - TY - CHAP A1 - Köhler, Sebastian A1 - Doll, Konrad A1 - Brunsmann, Ulrich T1 - Videobasierte Erkennung von Fußgängerintentionen zur Steigerung der Verkehrssicherheit T2 - Messe-Exponat und Vortrag, Vision 2012, Stuttgart, 06.-08. November KW - Fußgängererkennung KW - Fahrerassistenzsystem KW - Bildverarbeitung Y1 - 2012 ER -