Forschung im Verbundkolleg Mobilität & Verkehr: Wie bewegen wir uns in Zukunft?

Fischer Markus, Bogenberger Klaus, Elias Jörg, Schramm Simon, September 2021, Evaluation of the provision of control reserve by battery electric vehicles based on real mobility and charging profiles, Geneva (Genf Schweiz), Konferenz CIRED Geneva, DOI: http://dx.doi.org/10.1049/icp.2021.1886, peer-reviewed

Friese Philipp Andreas, Michalk Wibke, Fischer Markus, Hardt Cornelius, Bogenberger Klaus, November 2021, Charging Point Usage in Germany-Automated Retrieval, Analysis, and Usage Types Explained, DOI: http://dx.doi.org/10.3390/su132313046, peer-reviewed

Funk Drechsler Maikol, Peintner Jakob Benedikt, Seifert Georg, Huber Werner, Riener Andreas, September 2021, Mixed Reality Environment for Testing Automated Vehicle and Pedestrian Interaction, AutomotiveUI '21 Adjunct: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 10.1145/3473682.3481878, peer-reviewed

Gallitz O., De Candido O., Botsch M., Utschick W., September 2021, Interpretable Early Prediction of Lane Changes Using a Constrained Neural Network Architecture, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, IN, USA (Onlinekonferenz), DOI: 10.1109/itsc48978.2021.9564555, peer-reviewed

Gomez Buquerin K, Bayerl D, Hof H-J., Paper: Überwachung in modernen Fahrzeugen, May 2021, Datenschutz und Datensicherheit - DuD volume 45, DOI: https://doi.org/https://doi.org/10.1007/s11623-021-1459-5 , https://link.springer.com/article/10.1007/s11623-021-1459-5 Seiten: 399–403, peer-reviewed

Gomez Buquerin K, Corbett C, Hof H-J, Paper: A generalized approach to automotive forensics, April 2021, Forensic Science International: Digital Investigation, Volume 36, DOI: https://doi.org/10.1016/j.fsidi.2021.301111, https://www.sciencedirect.com/science/article/pii/S2666281721000056 peer-reviewed

Gomez Buquerin K, Hof H-J., Paper: Identification of Automotive Digital Forensics Stakeholders, November 2021, SECURWARE 2021, The Fifteenth International Conference on Emerging Security Information, Systems and Technologies, ISBN: 978-1-61208-919-51, Website: https://www.thinkmind.org/index.php?view=article&articleid=securware_2021_1_20_30004, Seiten: 8-13, peer-reviewed

Gomez Buquerin K, Hof H-J., Paper: Structured methodology and survey to evaluate data completeness in automotive digital forensics, September 2021, 19th escar Europe : The World’s Leading Automotive Cyber Security Conference, DOI: https://doi.org/10.13154/294-8351, Website: https://hss-opus.ub.ruhr-uni-bochum.de/opus4/frontdoor/index/index/docId/8351 Seiten: 52-70, peer-reviewed

Gomez Buquerin K., November 2021, Tutorial: Automotive Forensics - A Hands-on Showcase, online, Youtube Video: https://www.youtube.com/watch?v=QoIs4ndAnQU

Hanzl C., Hartmann C., Hölzle M., Liebhart B., Schmid M., Endisch C., „Current Commutation in a Switched Lithium–Ion Cell used in Cascaded Half–Bridge Multilevel Inverters“. In: IET Power Electronics 14.6 (2021), S. 1073–1088. doi: 10.1049/pel2.12088. peer-reviewed

Herbert M., Zwingel M., Czapka C., Franke J.: A Multi-source Localization System for Driverless Material Transport in Mixed Indoor and Outdoor Areas, 11th Congress of the German Academic Association for Production Technology (WGP) (Dresden, 28. September 2021 - 1. Oktober 2021), In: Bernd-Arno Behrens, Alexander Brosius, Welf-Guntram Drossel, Wolfgang Hintze, Steffen Ihlenfeldt, Peter Nyhuis (Hrsg.): Production at the Leading Edge of Technology 2021, DOI: 10.1007/978-3-030-78424-9_47 , peer-reviewed

Joppich, Philipp; Dorn, Sebastian; De Candido, Oliver; Utschick, Wolfgang; Knollmüller, Jakob, May 2021, Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders, arXiv preprint arXiv:2105.13393

Keler, Andreas; Denk, Florian; Brunner, Pascal; Grigoropoulos, Georgios; Malcolm, Patrick; Bogenberger, Klaus, 2021, Varying Bicycle Infrastructures - An Interconnected Simulator Study for Inspecting Motorist-Cyclist Conflicts, DSC 2021 - 20th Driving Simulation & Virtual Reality Conference (DSC 2021)

Kleiner J., Singh R., Schmid M., Komsiyska L., Elger G. und Endisch C, „Influence of Heat Pipe Assisted Terminal Cooling on the Thermal Behavior of a Large Prismatic Lithium-Ion Cell during Fast Charging in Electric Vehicles“. In: Applied Thermal Engineering (2021), S. 116328. doi: 10.1016/j.applthermaleng.2020.116328. peer-reviewed

Komsiyska L, Buchberger T, Diehl S, Ehrensberger M, Hanzl C, Hartmann C, Hölzle M, Kleiner J, Lewerenz M, Liebhart B, Schmid M, Schneider D, Speer S, Stöttner J, Terbrack C, Hinterberger M und Endisch C., „Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles“. In: Energies 14.18 (2021), S. 5989. doi: 10.3390/en14185989. peer-reviewed

Konstantinidis Fabian; Hofmann Ulrich; Sackmann Moritz; Thielecke Jorn; De Candido Oliver; Utschick Wolfgang, September 2021, Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, IN, USA (Onlinekonferenz), DOI: 10.1109/itsc48978.2021.9565031, peer-reviewed

Kruber F., Balasubramanian L., Wurst J., Botsch M., September 2021, „Methodische KI-Ansätze zur Identifizierung von relevanten Verkehrsszenarien“, Ingolstadt, Konferenz: Safety Assist 2021 (www.carhs.de/)

Kunze, O.; Frommer, F., The Matrix vs. The Fifth Element—Assessing Future Scenarios of Urban Transport from a Sustainability Perspective. Sustainability 2021, 13, 3531. https://doi.org/10.3390/su13063531, peer-reviewed

Lex, J., Margull, U., Fey, D., Mader, R., November 2021 Fault tolerance in heterogeneous automotive real-time systems. Nov. 11-12, Real Time Conference 2021, Boppard am Rhein, peer-reviewed

Liebhart B., Diehl S., Schmid M., Endisch C., Kennel R.,

2021, Improved Impedance Measurements for Electric Vehicles with Reconfigurable Battery Systems, Singapore, 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia), doi.org/10.1109/ECCE-Asia49820.2021.9479060, S. 1736-1742, peer-reviewed

Liebhart B., Diehl S., Schneider D, Endisch C., Kennel R.,

2021, Enhancing the Cell Impedance Estimation of a Lithium-Ion Battery System with Embedded Power Path Switches, Phoenix, AZ, USA, 2021 IEEE Applied Power Electronics Conference and Exposition (APEC), doi.org/10.1109/APEC42165.2021.9487173, S. 967-974, peer-reviewed

Neumeier Stefan, Corbett Christopher and Facchi Christian, April 2021 “A Secure and Privacy Preserving System Design for Teleoperated Driving”. In: Advances in Information and Communication. Vancouver, Canada: Springer International Publishing, ISBN: 978-3-030-12388-8.

Pechinger Mathias, Schroeer Guido, Bogenberger Klaus, Markgraf Carsten, Oktober 2021, Cyclist Safety in Urban Automated Driving - Sub-Microscopic HIL Simulation, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) - Indianapolis (US), DOI: 10.1109/ITSC48978.2021.9565108 , peer-reviewed

Pechinger Mathias, Schroeer Guido, Bogenberger Klaus, Markgraf Carsten, November 2021, Benefit of Smart Infrastructure on Urban Automated Driving - Using an AV Testing Framework, 2021 IEEE Intelligent Vehicles Symposium (IV) - Nagoya (Japan), DOI:10.1109/IV48863.2021.9575651 , peer-reviewed

Peintner J., Funk M., Drechsler FR, Seifert G., Huber W, Riener A, September 2021, Mixed Reality Environment for Complex Scenario Testing, MuC '21: Mensch und Computer 2021, 10.1145/3473856.3474034, peer-reviewed

Riedmaier S, Schneider J, Danquah B, Schick B and Diermeyer F, Non-deterministic model validation methodology for simulation-based safety assessment of automated vehicles, Simulation Modelling Practice and Theory, vol. 109, pp. 1–19, 2021.

Riedmaier S., Danquah B., Schick B. and Diermeyer F;, Unified Framework and Survey for Model Verification, Validation and Uncertainty Quantification, Archives of Computational Methods in Engineering, vol. 28, pp. 2655–2688, 2021.

Riedmaier S., Schneider D., Watzenig D., Diermeyer F. and Schick B., Model Validation and Scenario Selection for Virtual-Based Homologation of Automated Vehicles, Applied Sciences, vol. 11, pp. 1–24, 2021.

Schäffner, Vanessa:

Between Real World and Thought Experiment: Framing Moral Decision-Making in Self-Driving Car Dilemmas, 2021, Humanistic Management Journal 6.2, S. 249–272, doi.org/10.1007/s41463-020-00101-x, peer-reviewed

Schmid M, Gebauer E und Endisch C, „Structural Analysis in Reconfigurable Battery Systems for Active Fault Diagnosis“. In: IEEE Transactions on Power Electronics 36.8 (2021), S. 8672–8684. doi: 10.1109/TPEL.2021.3049573. peer-reviewed

Schmid M, Gebauer E, Hanzl C, und Endisch C,. „Active Model-Based Fault Diagnosis in Reconfigurable Battery Systems“. In: IEEE Transactions on Power Electronics 36.3 (2021), S. 2584–2597. doi: 10.1109/TPEL.2020.3012964. peer-reviewed

Schmid M, Kneidinger H.-G. und Endisch C,  „Data-Driven Fault Diagnosis in Battery Systems Through Cross-Cell Monitoring“. In: IEEE Sensors Journal 21.2 (2021), S. 1829–1837. doi: 10.1109/JSEN.2020.3017812. peer-reviewed

Schmid M, Liebhart B, Kleiner J, Endisch C und Kennel R, „Online Detection of Soft Internal Short Circuits in Lithium-Ion Battery Packs by Data-Driven Cell Voltage Monitoring“. In: 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia). IEEE, 2021, S. 1711–1718. doi: 10.1109/ECCE-Asia49820.2021.9479175. peer-reviewed

Schmid M, Vögele U und Endisch C, „A novel matrix-vector-based framework for modeling and simulation of electric vehicle battery packs“. In: Journal of Energy Storage 32 (2020), S. 101736. doi: 10.1016/j.est.2020.101736. peer-reviewed

Schneider D., Liebhart B., Endisch C., Juli 2021, „Active state and parameter estimation as part of intelligent battery systems “. In: Journal of Energy Storage, 102638. DOI: 10.1016/j.est.2021.102638 peer-reviewed

Schneider D., Liebhart B., Endisch C., Mai 2021, „Adaptive Variance Estimation of Sensor Noise within a Sensor Data Fusion Framework “, In: 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). DOI: 10.1109/I2MTC50364.2021.9459790 peer-reviewed,

1. Platz Best Paper Award.

Schwanzer Peter, Schillinger Maximilian, Mieslinger Johann, Walter Stefanie, Hagen Gunter, Märkl Susanne, Haft Gerhard, Dietrich Markus, Moos Ralf, Gaderer Matthias und Rabl Hans-Peter, Februar 2021, A Synthetic Ash-Loading Method for Gasoline Particulate Filters with Active Oil Injection, SAE Int. J. Engines 14(4):2021, doi:10.4271/03-14-04-0029.

Seifert G., November 2021, Analysemethodiken zur Berechnung der WCET mit asynchroner Ein-/Ausgabeverarbeitung, Echtzeit 2021: Echtzeitkommunikation, Präsentation vor Ort, Veröffentlichung des Tagesbands steht noch aus, daher auch keine DIO etc., peer-reviewed

Spielbauer Markus, Berg Philipp, Soellner Jonas, Peters Julia, Schaeufl Florian, Rosenmüller Christian, Bohlen Oliver, Jossen Andreas, September 2021, Experimental investigation of the failure mechanism of 18650 lithium-ion batteries due to shock and drop, Journal of Energy Storage, 10.1016/j.est.2021.103213

Spielbauer Markus, Peters Julia, Herrmann Matthias, Petersohn Ronny, Bohlen Oliver, Jossen Andreas, April 2021, Effects of High Acceleration Mechanical Shocks on 94 Ah Large Format Lithium-Ion Battery Cells, Batterietagung 2021

Theiler M, Lewerenz M und Schmid M, „Investigation of the Float Current Analysis and the Float Current Settling Process via DVA on 18650 Li(NiCoAl)O2/Graphite Cells“. In: Applied Research Conference 2021. Hrsg. von M. Söllner und G. Pirkl. 2021, S. 463–468. peer-reviewed

Uelwer Tobias; Michels Felix; De Candido Oliver, September 2021, Learning to Detect Adversarial Examples Based on Class Scores, KI 2021: Advances in Artificial Intelligence, Onlinekonferenz, DOI: 10.1007/978-3-030-87626-5_17, peer-reviewed

Wachtel Granado D., Schröder S., Reway F., Huber W., Vossiek M., 07/2021, Validation of a Radar Sensor Model under Non-Ideal Conditions for Testing Automated Driving Systems, 2021 IEEE Intelligent Vehicles Symposium (IV), Japan, pp. 83-89, doi: 10.1109/IVWorkshops54471.2021.9669205

Wurst J, Balasubramanian L, Botsch M und Utschick W, Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder, Nagoya, Japan (Online), DOI: 10.1109/IV48863.2021.9575730, Konferenz: 2021 IEEE Intelligent Vehicles Symposium (IV)

Zwingel M., Baier L., Blank A., Franke J.: Hierarchical And Flexible Navigation For AGVs In Autonomous Mixed Indoor And Outdoor Operation, 2nd Conference on Production Systems and Logistics (CPSL 2021) (online, 10. August 2021 - 11. August 2021), In: Herberger, D.; Hübner, M. (Hrsg.): Proceedings of the 2nd Conference on Production Systems and Logistics (CPSL 2021), Hannover: 202, DOI: , URL: https://www.repo.uni-hannover.de/handle/123456789/11385, peer-reviewed

De Candido, O., Gallitz, O., Melz, R., Botsch, M., Utschick,W.: Interpretable Machine Learning Structure for an Early Prediction of Lane Changes, Oct. 2020, Onlinekonferenz: Artificial Neural Networks and Machine Learning – ICANN 2020. DOI: 10.1007/978-3-030-61609-0_27, peer-reviewed

De Candido, O., Koller, M., Gallitz, O., Melz, R., Botsch, M., Utschick,W.: Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks. Sep. 20-23, 2020, The 23rd IEEE Intelligent Transportation Systems Conference (ITSC). DOI: 10.1109/ITSC45102.2020.9294555, peer-reviewed

Fischer, M., Elias, J., Bogenberger, K., Schramm, S.: Quantification of transmitted energy and power for system services by battery electric vehicles based on real mobility and charging profiles. Peer-reviewed, Berlin, CIRED Conference 2020, peer-reviewed

Gallitz, O., De Candido, O., Melz, R., Botsch, M., Utschick,W.: Interpretable Machine Learning Structure for an Early Prediction of Lane Changes.ICANN (1) 2020: 337-349

Hegde, A., Andreas Festag, A.: Artery-C :An OMNeT++ Based Discrete Event Simulation Framework for Cellular V2X presented at ACM- MSWiM 2020

Hegde, A., Andreas Festag, A.: Mode Switching Performance in Cellular V2X presented at IEEE VNC 2020

Kruber, F., Sánchez Morales, E., Chakraborty S., Botsch, M.:Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles. IEEE Intelligent Vehicles Symposium, Las Vegas, 2020 https://ieeexplore.ieee.org/document/9304794

Liebhart, B., Komsiyska,L., Endisch, Ch.: Passive impedance spectroscopy for monitoring lithium-ion battery cells during vehicle operation, 02/2020, Journal of Power Sources, DOI: https://doi.org/10.1016/j.jpowsour.2019.227297, peer-reviewed

Liebhart, B., Satzke, M., Komsiyska,L., Endisch, Ch.: Application of nonlinear impedance spectroscopy for the diagnosis of lithium-ion battery cells under various operating conditions. 12/2020, Journal of Power Sources, DOI: https://doi.org/10.1016/j.jpowsour.2020.228673, peer-reviewed

Liebhart, B., Diehl, S., Endisch, Ch.: Sensitivity Analysis of Battery Cell Aging Estimators based on Impedance Spectroscopy regarding Temperature Compensation. 08/2020 IEEE Conference on Control Technology and Applications (CCTA), DOI: https://doi.org/10.1109/CCTA41146.2020.9206395, peer-reviewed

Neumeier, S., Stapf, S., Facchi, Ch.: The Visual Quality of Teleoperated Driving Scenarios How good is good enough? ISNCC 2020: International Symposium on Networks, Computers and Communications 2020.Montreal, Canada, October 2020, DOI: 10.1109/ISNCC49221.2020.9297343.

Pechinger, M., Schröer, G., Bogenberger, K., Markgraf, C.: Hardware in the Loop Test Using Infrastructure Based Emergency Trajectories for Connected Automated Driving. 10/2020, Ort: IEEE Intelligent Vehicles Symposium (IV), Las Vegas, USA https://ieeexplore.ieee.org/abstract/document/930475710.1109/IV47402.2020.9304757 (DOI)

Riedmaier, S., Danquah, B., Schick, B., Diermeyer, F.: Unified Framework and Survey for Model Verification, Validation and Uncertainty Quantification. 2020 In: Archives of Computational Methods in Engineering, 1-34. DOI: 10.1007/s11831-020-09473-7

Riedmaier, S., Ponn, T., Ludwig, D., Schick, B., Diermeyer, F.: Survey on Scenario-Based Safety Assessment of Automated Vehicles. 2020 In: IEEE Access 8, S. 87456–87477. DOI: 10.1109/ACCESS.2020.2993730.

Schäffner, V.:  Wenn Ethik zum Programm wird: Eine risikoethische Analyse moralischer Dilemmata des autonomen Fahrens. Zeitschrift für Ethik und Moralphilosophie 3: 27–49. Februar 2020 https://doi.org/10.1007/s42048-020-00061-9, peer-reviewed

Schäffner, V.: Is Utilitarianism Entirely Useless for Self-Driving Car Ethics? A Critical Reflection on the Rationale for Rule Utilitarianism: August 2020, Artificial Intelligence. Reflections in Philosophy, Theology, and the Social Sciences. Hrsg. Benedikt Paul Göcke und Astrid Rosenthal-von der Pütten. Paderborn: mentis Verlag, S. 173–187. https://doi.org/10.30965/9783957437488_012

Schäffner, V.: Between Real World and Thought Experiment: Framing Moral Decision-Making in Self-Driving Car Dilemmas. November 2020, Humanistic Management Journal (2020) https://doi.org/10.1007/s41463-020-00101-x, peer-reviewed

Scholz M., Steinkamp J., Zwingel M., Hefner F., Franke J.: Distributed Camera Architecture for Seamless Detection and Tracking of Dynamic Obstacles, 30th CIRP Design Conference (Kruger National Park Skukuza Rest Camp, 5. Mai 2020 - 8. Mai 2020) In: Khumbulani Mpofu, Peter Butala (Hrsg.): Procedia CIRP Volume 91 2020 DOI: 10.1016/j.procir.2020.02.186, URL: https://www.sciencedirect.com/science/article/pii/S2212827120308313, BibTeX: Download

Schwanzer, P., Mieslinger, J., Dietrich, M., Haft, G., Walter, S.,Gunter Hagen, G., Moos, R., Gaderer, M., Rabl, H-P.: Monitoring of a Particulate Filter for Gasoline Direct Injection Engines with a Radio-Frequency-Sensor. Ludwigsburg 2020 11. Internationales AVL Forum Abgas- und Partikelemissionen

Seifert, G., Hempen, T., Huber, W.: Design of a Mixed Reality Test Environment to Validate Autonomouos Vehicles. Webinar / Crash Course - ASAM OSI (Zoom Meeting) https://www.asam.net/conferences-events/detail/webinar-asam-osi/

Walter, ‚S., Schwanzer, P., Hagen, G., Haft, G., Rabl, H-P., Dietrich, M., Moos, R.: Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters Mai 2020, Sensors, DOI: 10.3390/s20092659, peer-reviewed

Walter, ‚S., Schwanzer, P., Hagen, G., Haft, G., Rabl, H-P., Dietrich, M., Moos, R.: Hochfrequenzsensorik zur direkten Beladungserkennung von Benzinpartikelfiltern. Januar 2020 In Book: Automobil Sensorik 3, DOI: 10.1007/978-3-662-61260-6_7, peer-reviewed

Wurst, J., Flores Fernández, A., Botsch M., Utschick, W.: An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images. IEEE Intelligent Vehicles Symposium, Las Vegas 2020, DOI: 10.1109/IV47402.2020.9304733, Peer-Reviewed

Zwingel M., Herbert M., Lieret M., Schuderer P., Franke J.: An Economic Solution for Localization of Autonomous Tow Trucks in a Mixed Indoor and Outdoor Environment Using a Node Based Approach.Digital, In: Production at the leading edge of technology, Springer, Berlin, Heidelberg, 2020, S. 457-466, ISBN: 9783662621370, DOI: 10.1007/978-3-662-62138-7_46, BibTeX: Download

Neumeier, S., Wintersberger, P., Frison, A., Becher, A., Facchi, C., Riener, A. (2019): Teleoperation: The Holy Grail to Solve Problems of Automated Driving? Sure, but Latency Matters. AutomotiveUI 2019. Utrecht, September 2019.

Neumeier, S., Facchi, C. (2019): Towards a Driver Support System forTeleoperated Driving. ITSC 2019. Auckland, October 2019.

Neumeier, S., Höpp, M., Facchi, C. (2019): Yet Another Driving Simulator -OpenROUTS3D: The Driving Simulator for Teleoperated Driving. ICCVE 2019. Graz, November 2019.

Hehenkamp, N., Facchi, C., Neumeier, S. (2019): How to Achieve Traffic Safety With LTE and Edge Computing. FICC 2019. San Francisco, March 2019.

Tárkányi, I., Gay, N., Icking, C, Ma, L., Neumeier, S., Hill, G., Dannheim, C.: (2019): Roadside Sensor Optimization in Infrastructure-based Teleoperation of Vehicles. AmE 2019 – Automotive meets Electronics. Dortmund, March 2019.

Scholz, M., Zwingel M., Peter Schuderer P., Franke, J. (2019): Sustainable Intralogistics due to Uniform Software and Modular Transport Entities, Procedia CIRP, Volume 80, Pages 239-244. ISSN 2212-8271.

Schwanzer, P. (2019): Difference in the Tailpipe Particle Number by Consideration of Sub-23-nm Particles for Different Injection Settings of a GDI Engine (Emission Control Science and Technology March 2019, Volume 5, Issue 1, pp 7–22)

Schwanzer, P. (2019): Oxidation Kinetics Determination of GDI Engine Soot by a Radio-Frequency-Sensor (22. Nanoparticle Conference ETH Zürich)

Spielbauer, M. (2019): Experimental study of the impedance behavior of 18650 lithium-ion battery cells under deforming mechanical abuse. In The Journal of Energy Storage.

Zechel, P., Streiter, R., Bogenberger, K., & Goehner, U. (2019, February). Probabilistic Interaction-Aware Occupancy Prediction for Vehicles in Arbitrary Road Scenes. In 2019 Third IEEE International Conference on Robotic Computing (IRC) (pp. 423-424). IEEE.

Zechel, P., Streiter, R., Bogenberger, K., & Göhner, U. (2019, October). Assumptions of Lateral Acceleration Behavior Limits for Prediction Tasks in Autonomous Vehicles. In 2019 7th International Conference on Mechatronics Engineering (ICOM) (pp. 1-6). IEEE.

Zechel, P., Streiter, R., Bogenberger, K., & Göhner, U. (2019, February). Pedestrian Occupancy Prediction for Autonomous Vehicles. In 2019 Third IEEE International Conference on Robotic Computing (IRC) (pp. 230-235). IEEE.

Hiergeist, S., Seifert, G. (2018):

Implementation of a SPI based Redundancy Network for SoC based UAV FCCs and Achieving Synchronization. 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC). 23.-27.09.2018, London, England.

Müller, M. (2018):

Machine Learning Based Prediction of Crash Severity Distributions for Mitigation Strategies. The 7th International Conference on Intelligent Computing and Applications (ICICA 2018). 08.-10.01.2018, Sydney, Australia

Müller, M.; Botsch, M.; Böhmländer, D.; Utschick, W. (2018):

Machine Learning Based Prediction of Crash Severity Distributions for Mitigation Strategies. In: Journal of Advances in Information Technology, 9(1), S. 15-24.

Müller, M.; Long, X.; Botsch, M.; Böhmländer, D.; Utschick, W. (2018):

Real-Time Crash Severity Estimation with Machine Learning and 2D Mass-Spring-Damper Model. In: IEEE 21st International Conference on Intelligent Transportation Systems (ITSC 2018). 04.-07.11.2018, Maui, Hawaii, USA.

Neumeier, S., Gay, N., Dannheim, C., Facchi, C. (2018):

On the Way to Autonomous Vehicles - Teleoperated Driving. AmE 2018 - Automotive meets Electronics. 03.2018, Dortmund, Germany.

Riedmaier, S., Nesensohn, J., Gutenkunst, C., Düser, T., Schick, B., Abdellatif, H. (2018):

Validation of X-in-the-Loop Approaches for Virtual Homologation of Automated Driving Functions. 11th Graz Symposium Virtual Vehicle (GSVF). 15.-16.05.2018, Graz, Austria.

Schwierz, A., Forsberg, H. (2018):

Assurance Case to Structure COTS Hardware Component Assurance for Safety-Critical Avionics. IEEE/AIAA 37th Digital Avionics Systems Conference (DASC). 23.-27.09.2018, London, England.

Schwierz, A., Forsberg, H. (2018):

Assurance Benefits of ISO 26262 Compliant Microcontrollers for Safety-Critical Avionics. 37th International Conference on Computer Safety, Reliability, & Security (SAFECOMP-2018). 18.-21.09.2018, Västerås, Sweden.

Seifert, G., Hiergeist, S. (2018):

Reverse Engineering the Timing Parameters of the I/O-System in Microcontrollers. FORMUS3IC Workshop at ARCS 2018 - 31st International Conference on Architecture of Computing Systems (ARCS 2018). 09.-12.04.2018, Braunschweig, Germany.

Seifert, G., Hiergeist, S.; Schwierz, A. (2018):

Entwicklungsvorschläge für ISO 26262 konforme MCUs in sicherheitskritischer Avionik. Echtzeit 2018, GI Fachtagung. 15.-16.11.2018, Boppard, Germany.

Walelgne, E. A., Kim, S., Bajpai, V., Neumeier, S., Manner, J. M. J., Ott, J. (2018):

Factors Affecting Performance of Web Flows in Cellular Networks. IFIP Networking 2018. 05.2018, Zürich, Switzerland.

Zeitler, A., Schwierz, A., Hiergeist, S. (2018):

Datalink System Maturation and Flight Testing of the Sagitta UAS Demonstrator. IEEE/AIAA 37th Digital Avionics Systems Conference (DASC). 23.-27.09.2018, London, England.

Hiergeist, S.; Schwierz, A.; Zeitler, A. (2017):
COTS components for a large scale UAS demonstrator datalink system.
In: 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC).
17.-21. September 2017, St. Petersburg, FL. Piscataway, NJ: IEEE, S. 1–8.

Hiergeist, S.; Seifert, G. (2017):
Internal redundancy in future UAV FCCs and the challenge of synchronization.
In: 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC).
17.-21. September 2017, St. Petersburg, FL. Piscataway, NJ: IEEE, S. 1–9.

Müller, M.; Botsch, M.; Böhmländer, D.; Utschick, W. (2017):
A Simulation Framework for Vehicle Safety Testing. 
In: Methodenentwicklung für aktive Sicherheit und automatisiertes Fahren.
2. Expertendialog zu Wirksamkeit - Beherrschbarkeit - Absicherung.
Unter Mitarbeit von Klaus Kompaß. Renningen: expert Verlag (Haus der Technik Fachbuch, Band 144).

Neumeier, S.; Obermaier, C.; Facchi, C. (2017):
Speeding up OMNeT++ Simulations by Parallel Output-Vector Implementations.
In: A.  Djanatliev, K.-S. Hielscher und R. German (Hg.): Proceedings of the 5th GI/ITG KuVS Fachgespräch Inter-Vehicle Communication (FG-IVC 2017).
Technical Reports CS-2017-03, 06.-07-04.2017. Friedrich-Alexander-Universität Erlangen-Nürnberg, Dept. of Computer Science.

Riebl, R.; Obermaier, C.; Neumeier, S.; Facchi, C. (2017):
Vanetza: Boosting Research on Inter-Vehicle Communication.
In: A. Djanatliev, K.-S. Hielscher und R. German (Hg.): Proceedings of the 5th GI/ITG KuVS Fachgespräch Inter-Vehicle Communication (FG-IVC 2017).
Technical Reports CS-2017-03, 06.-07-04.2017. Friedrich-Alexander-Universität Erlangen-Nürnberg, Dept. of Computer Science.

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