Lebenslauf

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.

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.

Projektleiter PAKoS
Teilprojektleiter ARCHES

Lehre

Publikationen

2020

Adaptive Optimal Control for Reference Tracking Independent of Exo-System Dynamics.
Köpf, F.; Westermann, J.; Flad, M.; Hohmann, S.
2020. Neurocomputing, 405, 173–185. doi:10.1016/j.neucom.2020.04.140
Personalisation and Control Transition Between Automation and Driver in Highly Automated Cars.
Flad, M.; Karg, P.; Roitberg, A.; Martin, M.; Mazewitsch, M.; Lange, C.; Kenar, E.; Ahrens, L.; Flecken, B.; Kalb, L.; Karakaya, B.; Ludwig, J.; Pruksch, A.; Stiefelhagen, R.; Hohmann, S.
2020. Smart Automotive Mobility: Reliable Technology for the Mobile Human. Ed.: Gerrit Meixner, 1–70, Springer
Adaptive Dynamic Programming for Model-free Tracking of Trajectories with Time-varying Parameters.
Köpf, F.; Ramsteiner, S.; Puccetti, L.; Flad, M.; Hohmann, S.
2020. International journal of adaptive control and signal processing, 34 (7), 839–856. doi:10.1002/acs.3106
Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains.
Köpf, F.; Nitsch, A.; Flad, M.; Hohmann, S.
2020. 2020 6th International Conference on Control, Automation and Robotics (ICCAR) : April 20-23, 2020, Singapore, 746–752, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAR49639.2020.9108080
Bewegungsabhängiges Stabilisierungsunterstützungssystem [Patent].
Kuhn, E.; Kusmartsev, F.; Flad, M.; Hohmann, S.; Köpf, F.
2020
Optimal Control and Inverse Optimal Control with Continuous Updating for Human Behavior Modeling.
Petrosian, O.; Inga, J.; Kuchkarov, I.; Flad, M.; Hohmann, S.
2020. IFAC-PapersOnLine, 53 (2), 6670–6677. doi:10.1016/j.ifacol.2020.12.089
Adaptive Negotiation Model for Human-Machine Interaction on Decision Level.
Rothfuß, S.; Ayllon, C.; Flad, M.; Hohmann, S.
2020. IFAC-PapersOnLine, 53 (2), 10174–10181. doi:10.1016/j.ifacol.2020.12.2745
Cooperative Decision Making in Cooperative Control Systems by Means of Game Theory.
Rothfuß, S.; Steinkamp, J.; Flad, M.; Hohmann, S.
2020. Frontiers of Dynamic Games : Game Theory and Management, St. Petersburg, 2019. Ed.: L.A. Petrosyan, 245–265, Birkhäuser. doi:10.1007/978-3-030-51941-4_15
Deep Decentralized Reinforcement Learning for Cooperative Control.
Köpf, F.; Tesfazgi, S.; Flad, M.; Hohmann, S.
2020. 21th IFAC World Congress. Ed.: R. Findeisen, 1555–1562, Elsevier. doi:10.1016/j.ifacol.2020.12.2181
Inverse Open-Loop Noncooperative Differential Games and Inverse Optimal Control.
Molloy, T. L.; Inga, J.; Flad, M.; Ford, J.; Perez, T.; Hohmann, S.
2020. IEEE transactions on automatic control, 65 (2), 897–904. doi:10.1109/TAC.2019.2921835

2019

A Concept for Human-Machine Negotiation in Advanced Driving Assistance Systems.
Rothfuss, S.; Schmidt, R.; Flad, M.; Hohmann, S.
2019. IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, 06.10.-09.10.2019, 3116–3123, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2019.8914282
Cooperative Decision Making in Cooperative Control Systems by means of Game Theory.
Rothfuß, S.; Steinkamp, J.; Flad, M.; Hohmann, S.
2019, Juli 4. 13th International Conference Game Theory and Management (GTM 2019), Sankt Petersburg, Russland, 3.–5. Juli 2019
A Continuous and Quantitative Metric for the Levels of Automation.
Braun, C. A.; Flad, M.; Hohmann, S.
2019. IFAC-PapersOnLine, 52 (19), 37–42. doi:10.1016/j.ifacol.2019.12.081
Personalisierte, adaptive kooperative Systeme für automatisierte Fahrzeuge: Schlussbericht des Karlsruher Instituts für Technologie (KIT) für das BMBF-Forschungsvorhaben PAKoS.
Flad, M.; Ludwig, J.; Roitberg, A.; Karg, P.; Stiefelhagen, R.; Hohmann, S.
2019. Technische Informationsbibliothek (TIB)
Differential-Game-Based Driver Assistance System for Fuel-Optimal Driving.
Flad, M.
2019. Frontiers of Dynamic Games – Game Theory and Management, St. Petersburg, 2018. Ed.: L. Petrosyan, 13–36, Birkhäuser Verlag. doi:10.1007/978-3-030-23699-1_2
Decentralized Path Planning for Cooperating Autonomous Vehicles.
Rothfuß, S.; Prezdnyakov, R.; Flad, M.; Hohmann, S.
2019. AUTOREG, Mannheim, 2-3 Juli, 2019, 271–284, VDI Verlag
Decentralized path planning for cooperating autonomous mobile units.
Rothfuß, S.; Prezdnyakov, R.; Flad, M.; Hohmann, S.
2019. Forschung im Ingenieurwesen, 1–11. doi:10.1007/s10010-019-00339-4
Validation of a Human Cooperative Steering Behavior Model Based on Differential Games.
Inga, J.; Flad, M.; Hohmann, S.
2019. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), Bari, I, October 6-9, 2019, 3124–3129, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2019.8914574
Solution Sets for Inverse Non-Cooperative Linear-Quadratic Differential Games.
Inga, J.; Bischoff, E.; Molloy, T. L.; Flad, M.; Hohmann, S.
2019. IEEE Control Systems Letters, 3 (4), 871 – 876. doi:10.1109/LCSYS.2019.2919271
Model-Based Control of a Large-Scale Ball-on-Plate System With Experimental Validation.
Kastner, A.; Inga, J.; Blauth, T.; Köpf, F.; Flad, M.; Hohmann, S.
2019. IEEE International Conference on Mechatronics (ICM ), 257–262, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICMECH.2019.8722850
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

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, Institute of Electrical and Electronics Engineers (IEEE). 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, Institute of Electrical and Electronics Engineers (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, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/AIKE.2018.00034
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
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, Institute of Electrical and Electronics Engineers (IEEE). 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, Institute of Electrical and Electronics Engineers (IEEE)

2017

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, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2017.8122585
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, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2017.8122873
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, Institute of Electrical and Electronics Engineers (IEEE)
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. doi:10.5445/KSP/1000063300

2016

Kooperative Regelungskonzepte auf Basis der Spieltheorie und deren Anwendung auf Fahrerassistenzsysteme. Dissertation.
Flad, M.
2016. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000062759

2015

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, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2015.531

2014

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, Institute of Electrical and Electronics Engineers (IEEE). 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, Institute of Electrical and Electronics Engineers (IEEE). 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, Institute of Electrical and Electronics Engineers (IEEE). 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, Institute of Electrical and Electronics Engineers (IEEE). 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, Institute of Electrical and Electronics Engineers (IEEE). 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 Associates, Inc. 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

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, Institute of Electrical and Electronics Engineers (IEEE). 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, Institute of Electrical and Electronics Engineers (IEEE). 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, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2013.43