Studium an der Berufsakademie Ravensburg (Dipl.-Ing. (BA) 2008) und Mitarbeiter im Unternehmensbereich Automobilentwicklung der Marquardt GmbH. Anschließend Studium der Elektro- und Informationstechnik am Karlsruher Institut für Technologie (M. Sc. 2011). Master-Thesis zum Thema „Robuste Datenfusion für bildgestützte multisensorielle Navigation in Innenräumen“.
Ab 2011 wissenschaftlicher Mitarbeiter am IRS und Promotion über das Thema „Kooperative Regelungskonzepte auf Basis der Spieltheorie und deren Anwendung auf Fahrerassistenzsysteme“ (Dr.-Ing. 2016). Seit 2016 Gruppenleiter der Forschungsgruppe Kooperative Systeme am IRS.
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 Dr.-Ing. Michael Flad |
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Forschungsgruppenleiter Kooperative Systeme Gruppe: Raum: 105 Tel.: +49 721 608 - 42467 Fax: +49 721 608 - 42707 michael flad2Aaf3∂kit edu |
Karlsruher Institut für Technologie (KIT) |
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Lebenslauf
Forschung
Entwicklung von Regelungsalgorithmen für kooperative Fahrer-Fahrzeug-Systeme
Paradoxerweise wird die Interaktion mit hochautomatisierten Systemen mit zunehmendem Grad der Automation für den Menschen anspruchsvoller. Ebenso ist die Abstimmung von Automationssystemen mit dem Menschen eine größere Herausforderung als die Kommunikation zwischen rein technischen Systemen. Meine Forschungsgruppe beschäftigt sich daher mit Regelungs- und Entscheidungsstrukturen, in denen der Mensch und ein technisches Automationssystem eine gemeinsame Aufgabe lösen. Wir beschäftigen uns dabei sowohl mit der Identifikation des menschlichen Verhaltens, dem Design der Automationssysteme sowie der Architektur dieser Regelsysteme.
Lehre
Publikationen
2019
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Kooperative Optimalregelung unter eingeschränkter Kommunikation und Information.
Köpf, F.; Flad, M.; Hohmann, S.
2019. GMA-Fachausschuss 1.50 Workshop "Grundlagen vernetzter Systeme" (2019), Günzburg, Deutschland, 11.–13. März 2019
2018
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A Comparison of Concepts for Control Transitions from Automation to Human.
Ludwig, J.; Haas, A.; Flad, M.; Hohmann, S.
2018, Oktober. IEEE International Conference on Systems, Man, and Cybernetics (2018), Miyazaki, Japan, 7.–10. Oktober 2018 -
A Comparison of Concepts for Control Transitions from Automation to Human.
Ludwig, J.; Haas, A.; Flad, M.; Hohmann, S.
2018. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 3201–3206, IEEE, Piscataway (NJ). doi:10.1109/SMC.2018.00542 -
Evaluating Human Behavior in Manual and Shared Control via Inverse Optimization.
Inga, J.; Eitel, M.; Flad, M.; Hohmann, S.
2018. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2699–2704, IEEE. doi:10.1109/SMC.2018.00461 -
Modeling of Human-Centered Cooperative Control by Means of Tracking in Discrete Time Linear Quadratic Differential Games.
Lemmer, M.; Köpf, F.; Schwab, S.; Flad, M.; Hohmann, S.
2018. 1st IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2018; Laguna Hills; United States; 26 September 2018 through 28 September 2018, 156–161, IEEE, Piscataway (NJ). doi:10.1109/AIKE.2018.00034 -
A Steering Experiment Towards Haptic Cooperative Maneuver Negotiation.
Rothfuß, S.; Grauer, F.; Flad, M.; Hohmann, S.
2018. Proceedings 2018 IEEE International Conference on Systems, Man and Cybernetics SMC 2018, 7-10 October 2018, Miyazaki, Japan, 3207–3212, IEEE, Piscataway, NJ. doi:10.1109/SMC.2018.00543 -
Adaptive Dynamic Programming for Cooperative Control with Incomplete Information.
Köpf, F.; Ebbert, S.; Flad, M.; Hohmann, S.
2018. IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2018), Miyazaki, J, October 7-10, 2018, IEEE, Piscataway, NJ -
Driver Observation and Shared Vehicle Control : Supporting the Driver on the Way Back into the Control Loop = Fahrerbeobachtung und kooperative Fahrzeugführung : Wie der Fahrer auf dem Weg zurück in die Regelschleife unterstützt werden kann.
Ludwig, J.; Martin, M.; Horne, M.; Flad, M.; Voit, M.; Stiefelhagen, R.; Hohmann, S.
2018. at - Automatisierungstechnik, 66 (2), 146–159. doi:10.1515/auto-2017-0103
2017
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Cooperative longitudinal driver assistance system based on shared control.
Mosbach, S.; Flad, M.; Hohmann, S.
2017. Proceedings of the 2017 IEEE International Conference on Systems, Man and Cybernetics, SMC 2017, Banff, Canada, 5th - 8th October 2017, 1776–1781, IEEE, Piscataway (NJ). doi:10.1109/SMC.2017.8122873 -
Individual Human Behavior Identification Using an Inverse Reinforcement Learning Method.
Inga, J.; Köpf, F.; Flad, M.; Hohmann, S.
2017. IEEE International Conference on Systems, Man and Cybernetics (SMC), Banff, AB, Canada, 5–8 October 2017, 99–104, IEEE, Picataway (NJ). doi:10.1109/SMC.2017.8122585 -
Cooperative Shared Control Driver Assistance Systems Based on Motion Primitives and Differential Games.
Flad, M.; Fröhlich, L.; Hohmann, S.
2017. IEEE transactions on human-machine systems, 47 (5), 711–722. doi:10.1109/THMS.2017.2700435 -
Cooperative Dynamic Vehicle Control Allocation using Time-Variant Differential Games.
Ludwig, J.; Gote, C.; Flad, M.; Hohmann, S.
2017. IEEE International Conference on Systems, Man and Cybernetics, SMC, Banff, Alberta, Canada, 5th - 8th October 2017, 117–122, IEEE, Piscataway (NJ) -
Inverse Reinforcement Learning for Identification in Linear-Quadratic Dynamic Games.
Köpf, F.; Inga, J.; Rothfuß, S.; Flad, M.; Hohmann, S.
2017. IFAC-PapersOnLine, 50 (1), 14902–14908. doi:10.1016/j.ifacol.2017.08.2537 -
Inverse Optimal Control for Identification in Non-Cooperative Differential Games.
Rothfuß, S.; Inga, J.; Köpf, F.; Flad, M.; Hohmann, S.
2017. IFAC-PapersOnLine, 50 (1), 14909–14915. doi:10.1016/j.ifacol.2017.08.2538 -
Kooperative Regelungskonzepte auf Basis der Spieltheorie und deren Anwendung auf Fahrerassistenzsysteme. Dissertation.
Flad, M.
2017. KIT Scientific Publishing, Karlsruhe. doi:10.5445/KSP/1000063300
2016
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Kooperative Regelungskonzepte auf Basis der Spieltheorie und deren Anwendung auf Fahrerassistenzsysteme. Dissertation.
Flad, M.
2016. Karlsruhe. doi:10.5445/IR/1000062759
2015
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Gray-Box Driver Modeling and Prediction: Benefits of Steering Primitives.
Inga, J.; Flad, M.; Diehm, G.; Hohmann, S.
2015. 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kowloon Tong, Hong Kong, 9–12 October 2015, 3054–3059, IEEE. doi:10.1109/SMC.2015.531
2014
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Integration of an Active Brake Pedal Simulator in the CarMaker Environment for Design and Evaluation of Haptic Driver Assistance Systems.
Rothfuss, S.; Flad, M.; Diehm, G.
2014. IPG Automotive applay and innovate -
Active Brake Pedal Feedback Simulator Based on Electric Drive.
Flad, M.; Rothfuss, S.; Diehm, G.; Hohmann, S.
2014. SAE 2014 World Congress & Exhibition, Detroit, Michigan, USA, April 8 - 10, 2014 -
Active Brake Pedal Feedback Simulator Based on Electric Drive.
Flad, M.; Rothfuss, S.; Diehm, G.; Hohmann, S.
2014. SAE International journal of passenger cars, 7 (1), 189–200. doi:10.4271/2014-01-0325 -
Optimal interaction structure of human drivers cooperation: A pilot study.
Ludwig, J.; Diehm, G.; Flad, M.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 3593–3598, IEEE, Piscataway (NJ). doi:10.1109/SMC.2014.6974487 -
Subliminal optimal longitudinal vehicle control for energy efficient driving.
Sauter, P.; Flad, M.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 3001–3007, IEEE, Piscataway (NJ). doi:10.1109/SMC.2014.6974387 -
Steering driver assistance system: A systematic cooperative shared control design approach.
Flad, M.; Otten, J.; Schwab, S.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 3585–3592, IEEE, Piscataway (NJ). doi:10.1109/SMC.2014.6974486 -
Necessary and sufficient conditions for the design of cooperative shared control.
Flad, M.; Otten, J.; Schwab, S.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 1253–1259, IEEE, Piscataway (NJ). doi:10.1109/SMC.2014.6974086 -
Driver characterization & driver specific trajectory planning: an inverse optimal control approach.
Gote, C.; Flad, M.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 3014–3021, IEEE, Piscataway (NJ). doi:10.1109/SMC.2014.6974389 -
Individual Driver Modeling via Optimal Selection of Steering Primitives.
Flad, M.; Trautmann, C.; Diehm, G.; Hohmann, S.
2014. Proceedings of the 19th IFAC World Congress 2014, Cape Town, South Africa, August 24 - 29, 2014; Vol. 1. Ed.: E. Boje, 696–702, Curran, Red Hook (NY). doi:10.3182/20140824-6-ZA-1003.00223 -
Integration of an Active Brake Pedal Simulator in the CarMaker Environment for Design and Evaluation of Haptic Driver Assistance Systems.
Rothfuß, S.; Flad, M.; Hohmann, S.
2014. apply & innovate 2014 - IPG Technologiekonferenz, Karlsruhe, 23. - 24. September 2014
2013
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Online identification of individual driver steering behaviour and experimental results.
Diehm, G.; Maier, S.; Flad, M.; Hohmann, S.
2013. Proceedings - 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013) : Manchester, United Kingdom, 13 - 16 October 2013, 221–227, IEEE, Piscataway (NJ). doi:10.1109/SMC.2013.44 -
An Identification Method for Individual Driver Steering Behaviour Modelled by Switched Affine Systems.
Diehm, G.; Maier, S.; Flad, ;.; Hohmann, S.
2013. 52nd IEEE Annual Conference on Decision and Control, Florence, Italy, Dec. 10 ‐13, 2013, 3547–3553, IEEE, Piscataway (NJ). doi:10.1109/CDC.2013.6760428 -
Experimental validation of a driver steering model based on switching of driver specific primitives.
Flad, M.; Trautmann, C.; Diehm, G.; Hohmann, S.
2013. Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, Manchester, United Kingdom, 13 - 16 October 2013, 214–220, IEEE, Piscataway (NJ). doi:10.1109/SMC.2013.43
