Prof. Dr.-Ing. Werner Huber

Leiter CARISSMA Institute of Automated Driving (C-IAD)

+49 841 9348-2523

Werner.Huber@thi.de

Raum: H020

Lehrgebiet: Integrale Fahrzeugsicherheit und deren Testmethoden

Fakultät: Fakultät E

Forschung

Test und Absicherung automatisierter Fahrfunktionen in Realität und Simulation
Sensor-, Funktions- und Verkehrssimulation
Mixed Reality Versuchsumgebung, X-in-the Loop (HiL, MiL ViL, Sensor in the Loop)
Leitung CARISSMA Institute of Automated Driving (C-IAD)

Vita

Seit 2016 an der THI
07/2012 - 06/2016: Leiter Forschungsgruppe Perzeption und Automatisiertes Fahren bei der BMW Group Forschung GmbH
12/2008 - 06/2012: Referent Gesamtfahrzeugarchitektur und Integration Fahrerassistenzsysteme; BMW Group
02/2008 - 11/2008: Gruppenleiter Konzepte Integrale Sicherheit
2001: Promotion an der Technische Universität München; Dissertation „Fahrzeuggenerierte Daten zur Gewinnung von Verkehrsinformationen“
05/1991 - 08/1996: Wissenschaftlicher Mitarbeiter TU München FG Verkehrstechnik
1984 - 1991: Studium Bauingenieurwesen/Verkehrstechnik an der Technischen Universität München

Veröffentlichungen

Funk Drechsler, M.; Reway, F.; Sharma, V.; Schütz, C. and Huber, W.: Dynamic Vehicle-in-the-Loop (2022): A novel Method for Testing Automated Driving Functions. SAE International Journal of Connected and Automated Vehicles
Rothmeier, T.; Huber, W. (2021): Let it snow. On the Synthesis of Adverse Weather Image Data. ITSC 2021
Wachtel, D.; Schröder, S.; Reway, F.; Huber, W.; Vossiek, M. (2021): Validation Method of a Radar Sensor Model under non-ideal Conditions for Testing Automated Driving Systems, IV2021
F. Denk, W. Huber, P. Brunner and R. Kates, „The role of perceptual failure and degrading processes in urban traffic accidents: a stochastic computational model for virtual experiments”, IEEE ITSC 2020
F. Reway, A. Hoffmann, D. Wachtel, W. Huber, A. Knoll und E. Ribeiro, „Test Method for Measuring the Simulation-to-Reality Gap of Camera-based Object Detection Algorithms for Autonomous Driving,“ in 2020 IEEE Intelligent Vehicles (IV), 2020

Auszeichnungen und Mitgliedschaften

Rotary Forschungspreis 2023 des Rotary Club Ingolstadt
ITS-Bavaria Vorstandsmitglied
Forschungsgesellschaft Straßen- und Verkehrswesen, AA 3.1 Telematik
Expertenbeirat der ADAC Stiftung

Publikationen

2025

WACHTEL GRANADO, Diogo, Sinan TASABAT, Thomas ROTHMEIER, Letícia CRISTÓFOLI DUARTE SILVA und Werner HUBER, 2025. Exploring Synthetic Radar Data and Deep Learning for Road User Classification in Autonomous Vehicles. 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, S. 2021-2026. ISBN 979-8-3315-0592-9. Verfügbar unter: https://doi.org/10.1109/ITSC58415.2024.10919565

WACHTEL GRANADO, Diogo, Heitor Derder TREVISOL, Thomas ROTHMEIER, Bogdan Tomoyuki NASSU und Werner HUBER, 2025. Navigating on Adverse Weather: Enhancing LiDAR-Based Detection with the DBSPRY Dataset. 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, S. 4034-4039. ISBN 979-8-3315-0592-9. Verfügbar unter: https://doi.org/10.1109/ITSC58415.2024.10920224

ROTHMEIER, Thomas, Mayara DAL VESCO HOGER, Bogdan Tomoyuki NASSU, Werner HUBER und Alois KNOLL, 2025. Out of the Box: Weather Augmentation for Enhanced Detection in Bad Visibility Conditions. 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, S. 1410-1417. ISBN 979-8-3315-0592-9. Verfügbar unter: https://doi.org/10.1109/ITSC58415.2024.10919529

2024

WACHTEL GRANADO, Diogo, Samuel QUEIROZ, Torsten SCHÖN, Werner HUBER und Lester FARIA, 2024. A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, S. 3964-3969. ISBN 979-8-3503-9946-2. Verfügbar unter: https://doi.org/10.1109/ITSC57777.2023.10422067

WACHTEL GRANADO, Diogo, Christian SCHÜSSLER, Tetmar VON DEM BUSSCHE-HÜNNEFELD, Thomas ROTHMEIER, Martin VOSSIEK und Werner HUBER, 2024. Evaluation of Automotive Radar Simulation Tools for Adverse Weather Conditions: A Comparative Analysis of Real Measurement, HFSS and Monte-Carlo GO Methods. 2024 IEEE Radar Conference (RadarConf24) Proceedings. Piscataway: IEEE. ISBN 979-8-3503-2920-9. Verfügbar unter: https://doi.org/10.1109/RadarConf2458775.2024.10549398

WACHTEL GRANADO, Diogo, Thomas ROTHMEIER, Tetmar VON DEM BUSSCHE-HÜNNEFELD, Werner HUBER und Martin VOSSIEK, 2024. Radar in the Rain: Understanding and Simulating Environmental Effects on ADAS Radar Sensors. 2024 IEEE Radar Conference (RadarConf24) Proceedings. Piscataway: IEEE. ISBN 979-8-3503-2920-9. Verfügbar unter: https://doi.org/10.1109/RadarConf2458775.2024.10548570

POLEDNA, Yuri, Maikol FUNK DRECHSLER, Valentina DONZELLA, Pak Hung CHAN, Pierre DUTHON und Werner HUBER, 2024. REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls. 2024 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, S. 2451-2457. ISBN 979-8-3503-4881-1. Verfügbar unter: https://doi.org/10.1109/IV55156.2024.10588491

WACHTEL GRANADO, Diogo, Thomas ROTHMEIER, Letícia CRISTÓFOLI DUARTE SILVA, Martin VOSSIEK und Werner HUBER, 2024. Simulation and Validation of Automotive Radar Performance with Water Spray Over Radome. 2024 IEEE Sensors 2024: Conference Proceedings. Piscataway: IEEE. ISBN 979-8-3503-6351-7. Verfügbar unter: https://doi.org/10.1109/SENSORS60989.2024.10784774

DENK, Florian, Chantal HIMMELS, Vladislav ANDREEV, Johannes LINDNER, Arslan Ali SYED, Andreas RIENER, Werner HUBER und Ronald KATES, 2024. Studying Interactions of Motorists and Vulnerable Road Users: Empirical Comparison of Test Track and Simulator Experiments. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, S. 992-999. ISBN 979-8-3503-9946-2. Verfügbar unter: https://doi.org/10.1109/ITSC57777.2023.10421865

ROTHMEIER, Thomas, Werner HUBER und Alois KNOLL, 2024. Time to Shine: Fine-Tuning Object Detection Models with Synthetic Adverse Weather Images. Proceedings, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024. Los Alamitos: IEEE, S. 4435-4444. ISBN 979-8-3503-1892-0. Verfügbar unter: https://doi.org/10.1109/WACV57701.2024.00439

FUNK DRECHSLER, Maikol, Yuri POLEDNA, Mattias HJORT, Sogol KHARRAZI und Werner HUBER, 2024. Vehicle Dynamics Parameter Estimation Methodology for Virtual Automated Driving Testing. 2024 IEEE International Automated Vehicle Validation Conference (IAVVC), Proceedings. Piscataway: IEEE. ISBN 979-8-3503-5407-2. Verfügbar unter: 10.1109/IAVVC63304.2024.10786416

2023

POLEDNA, Yuri, Fabio REWAY, Maikol FUNK DRECHSLER, Werner HUBER, Christian ICKING und Eduardo PARENTE RIBEIRO, 2023. An Open-Source High-Level Fusion Algorithm in ROS for Automated Driving Applications. In: JUÁREZ-RAMÍREZ, Reyes, Carlos FERNÁNDEZ Y FERNÁNDEZ, Hector G. PEREZ GONZALEZ, Alan RAMÍREZ-NORIEGA, Samantha JIMÉNEZ, César GUERRA-GARCÍA und Guillermo LICEA SANDOVAL, Hrsg. Proceedings: 2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT 2022). Los Alamitos: IEEE, S. 174-181. ISBN 978-1-6654-6126-9. Verfügbar unter: https://doi.org/10.1109/CONISOFT55708.2022.00031

BOTSCH, Michael, Werner HUBER, Lakshman BALASUBRAMANIAN, Alberto FLORES FERNANDEZ, Markus GEISLER, Christian GUDERA, Mauricio Rene MORALES GOMEZ, Peter RIEGL, Eduardo SÁNCHEZ MORALES, Karthikeyan CHANDRA SEKARAN und Michael WEINZIERL, 2023. Data Collection and Safety Use Cases in Smart Infrastructures. 15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings. New York: ACM, S. 333-336. ISBN 979-8-4007-0112-2. Verfügbar unter: https://doi.org/10.1145/3581961.3609858

DENK, Florian, Felix FRÖHLING, Pascal BRUNNER, Werner HUBER, Martin MARGREITER, Klaus BOGENBERGER und Ronald KATES, 2023. Design of an Experiment to Pinpoint Cognitive Failure Processes in the Interaction of Motorists and Vulnerable Road Users. IEEE IV 2023: Symposium Proceedings. Piscataway: IEEE. ISBN 979-8-3503-4691-6. Verfügbar unter: https://doi.org/10.1109/IV55152.2023.10186550

FIDELIS, Eduardo, Fabio REWAY, Herick Y. S. RIBEIRO, Pietro CAMPOS, Werner HUBER, Christian ICKING, Lester FARIA und Torsten SCHÖN, 2023. Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks [Preprint]. arXiv. Verfügbar unter: https://doi.org/10.48550/arXiv.2308.02632

ROTHMEIER, Thomas, Diogo WACHTEL GRANADO, Tetmar VON DEM BUSSCHE-HÜNNEFELD und Werner HUBER, 2023. I Had a Bad Day: Challenges of Object Detection in Bad Visibility Conditions. IEEE IV 2023 Symposium Proceedings. Piscataway: IEEE. ISBN 979-8-3503-4691-6. Verfügbar unter: https://doi.org/10.1109/IV55152.2023.10186674

CRISTÓFOLI DUARTE SILVA, Letícia, Maikol FUNK DRECHSLER, Yuri POLEDNA, Werner HUBER und Thiago ANTONIO FIORENTIN, 2023. Synthetic Extreme Weather for AI Training: Concept and Validation. In: ARIWA, Ezendu und Simon FONG, Hrsg. Proceedings: 2023 Third International Conference on Digital Data Processing, DDP 2023. Piscataway: IEEE, S. 188-194. ISBN 979-8-3503-2901-8. Verfügbar unter: https://doi.org/10.1109/DDP60485.2023.00044

NOVICKI NETO, Leonardo, Fabio REWAY, Yuri POLEDNA, Maikol FUNK DRECHSLER, Eduardo PARENTE RIBEIRO, Werner HUBER und Christian ICKING, 2023. TWICE Dataset: Digital Twin of Test Scenarios in a Controlled Environment [Preprint]. arXiv. Verfügbar unter: https://doi.org/10.48550/arXiv.2310.03895

2022

DENK, Florian, Pascal BRUNNER, Werner HUBER, Martin MARGREITER, Klaus BOGENBERGER und Ronald KATES, 2022. Assessment of traffic safety interventions using virtual randomized controlled trials: potential of connected and automated driving including V2X for collision reduction at urban intersections. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, S. 1183-1190. ISBN 978-1-6654-6880-0. Verfügbar unter: https://doi.org/10.1109/ITSC55140.2022.9921764

PEINTNER, Jakob, Maikol FUNK DRECHSLER, Carina MANGER, Georg SEIFERT, Fabio REWAY, Werner HUBER und Andreas RIENER, 2022. Comparing Different Pedestrian Representations for Testing Automated Driving Functions in Mixed Reality Environments. Proceedings of the International Conference on Vehicle Electronics and Safety (ICVES 2022). Piscataway: IEEE. ISBN 978-1-6654-7698-0. Verfügbar unter: https://doi.org/10.1109/ICVES56941.2022.9986669

WACHTEL GRANADO, Diogo, Johannes EDLER, Sabine SCHRÖDER, Samuel QUEIROZ und Werner HUBER, 2022. Convolutional Neural Network Classification of Vulnerable Road Users based on Micro-Doppler Signatures using an Automotive Radar. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, S. 866-872. ISBN 978-1-6654-6880-0. Verfügbar unter: https://doi.org/10.1109/ITSC55140.2022.9921852

FUNK DRECHSLER, Maikol, Varun SHARMA, Fabio REWAY, Christoph SCHÜTZ und Werner HUBER, 2022. Dynamic Vehicle-in-the-Loop: A Novel Method for Testing Automated Driving Functions. SAE International Journal of Connected and Automated Vehicles, 5(4), 12-05-04-0029. ISSN 2574-0741. Verfügbar unter: https://doi.org/10.4271/12-05-04-0029

FUNK DRECHSLER, Maikol, Georg SEIFERT, Jakob PEINTNER, Fabio REWAY, Andreas RIENER und Werner HUBER, 2022. How Simulation based Test Methods will substitute the Proving Ground Testing?. 2022 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, S. 903-908. ISBN 978-1-6654-8821-1. Verfügbar unter: https://doi.org/10.1109/IV51971.2022.9827394

FUNK DRECHSLER, Maikol, Jakob PEINTNER, Fabio REWAY, Georg SEIFERT, Andreas RIENER und Werner HUBER, 2022. MiRE, A Mixed Reality Environment for Testing of Automated Driving Functions. IEEE Transactions on Vehicular Technology, 71(4), 3443-3456. ISSN 0018-9545. Verfügbar unter: https://doi.org/10.1109/TVT.2022.3160353

YAHYAEI, Mahdi, Georg SEIFERT, Thomas HEMPEN und Werner HUBER, 2022. Review of exteroceptive sensors for autonomous driving. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, S. 4005-4010. ISBN 978-1-6654-6880-0. Verfügbar unter: https://doi.org/10.1109/ITSC55140.2022.9922379

REWAY, Fabio, Maikol FUNK DRECHSLER, Ravikiran MURTHY, Yuri POLEDNA, Werner HUBER und Christian ICKING, 2022. Simulation-based test methods with an automotive camera-in-the-loop for automated driving algorithms. 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). Piscataway: IEEE. ISBN 978-1-6654-7095-7. Verfügbar unter: https://doi.org/10.1109/ICECCME55909.2022.9988437

WACHTEL GRANADO, Diogo, Sabine SCHRÖDER, Fabio REWAY, Werner HUBER und Martin VOSSIEK, 2022. Validation of a radar sensor model under non-ideal conditions for testing automated driving systems. 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops). Piscataway, NJ: IEEE, S. 83-89. ISBN 978-1-6654-7921-9. Verfügbar unter: https://doi.org/10.1109/IVWorkshops54471.2021.9669205

2021

BRUNNER, Pascal, Andreas LÖCKEN, Florian DENK, Ronald KATES und Werner HUBER, 2021. Analysis of experimental data on dynamics and behavior of e-scooter riders and applications to the impact of automated driving functions on urban road safety. 2020 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, S. 219-225. ISBN 978-1-7281-6673-5. Verfügbar unter: https://doi.org/10.1109/IV47402.2020.9304835

ROTHMEIER, Thomas und Werner HUBER, 2021. Let it Snow: On the Synthesis of Adverse Weather Image Data. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). Piscataway: IEEE, S. 3300-3306. ISBN 978-1-7281-9142-3. Verfügbar unter: https://doi.org/10.1109/ITSC48978.2021.9565008

PEINTNER, Jakob, Maikol FUNK DRECHSLER, Fabio REWAY, Georg SEIFERT, Werner HUBER und Andreas RIENER, 2021. Mixed Reality Environment for Complex Scenario Testing. In: SCHNEEGASS, Stefan, Bastian PFLEGING und Dagmar KERN, Hrsg. Tagungsband Mensch & Computer 2021. New York: ACM, S. 605-608. ISBN 978-1-4503-8645-6. Verfügbar unter: https://doi.org/10.1145/3473856.3474034

FUNK DRECHSLER, Maikol, Jakob PEINTNER, Georg SEIFERT, Werner HUBER und Andreas RIENER, 2021. Mixed Reality Environment for Testing Automated Vehicle and Pedestrian Interaction. Adjunct Proceedings: 13th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York: ACM, S. 229-232. ISBN 978-1-4503-8641-8. Verfügbar unter: https://doi.org/10.1145/3473682.3481878

ROTHMEIER, Thomas und Werner HUBER, 2021. Performance Evaluation of Object Detection Algorithms Under Adverse Weather Conditions. In: MARTINS, Ana Lúcia, Joao Carlos AMARO FERREIRA, Alexander KOCIAN und Vera COSTA, Hrsg. Intelligent Transport Systems, From Research and Development to the Market Uptake: 4th EAI International Conference, INTSYS 2020; Virtual Event, December 3, 2020: Proceedings. Cham: Springer, S. 211-222. ISBN 978-3-030-71454-3. Verfügbar unter: https://doi.org/10.1007/978-3-030-71454-3_13

REWAY, Fabio, Abdul HOFFMANN, Diogo WACHTEL GRANADO, Werner HUBER, Alois KNOLL und Eduardo PARENTE RIBEIRO, 2021. Test Method for Measuring the Simulation-to-Reality Gap of Camera-based Object Detection Algorithms for Autonomous Driving. 2020 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, S. 1249-1256. ISBN 978-1-7281-6673-5. Verfügbar unter: https://doi.org/10.1109/IV47402.2020.9304567

2020

DENK, Florian, Werner HUBER, Pascal BRUNNER und Ronald KATES, 2020. The role of perceptual failure and degrading processes in urban traffic accidents: a stochastic computational model for virtual experiments. 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE. ISBN 978-1-7281-4149-7. Verfügbar unter: https://doi.org/10.1109/ITSC45102.2020.9294498

REWAY, Fabio, Maikol FUNK DRECHSLER, Diogo WACHTEL GRANADO und Werner HUBER, 2020. Validity Analysis of Simulation-based Testing concerning Free-space Detection in Autonomous Driving. Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems. Setúbal: SciTePress, S. 552-558. ISBN 978-989-758-419-0. Verfügbar unter: https://doi.org/10.5220/0009573705520558

2019

SEIFERT, Georg, Thomas HEMPEN und Werner HUBER, 2019. Aufbau einer Mixed-Reality-Versuchsumgebung zur Absicherung autonomer Systeme. Echtzeit 2019: Autonome Systeme - 50 Jahre PEARL. Wiesbaden: Springer, S. 43-52. ISBN 978-3-658-27808-3. Verfügbar unter: https://doi.org/10.1007/978-3-658-27808-3_5

BIANK, Sanjana, Werner HUBER, Matthias MEYER, Hans-Joachim HOF und Thomas HEMPEN, 2019. Model-based security and safety assurance for automotive safety systems: Extended Abstract. Proceedings of 3. ACM Computer Science in Cars Symposium (CSCS 2019). New York: ACM. Verfügbar unter: https://cscs19.cispa.saarland/

HASIRLIOGLU, Sinan, Fabio REWAY, Tim KLINGENBERG, Andreas RIENER und Werner HUBER, 2019. Raindrops on the Windshield: Performance Assessment of Camera-based Object Detection. 2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES). Piscataway: IEEE. ISBN 978-1-7281-3473-4. Verfügbar unter: https://doi.org/10.1109/ICVES.2019.8906344

BRUNNER, Pascal, Florian DENK, Werner HUBER und Ronald KATES, 2019. Virtual safety performance assessment for automated driving in complex urban traffic scenarios. 2019 IEEE Intelligent Transportation Systems Conference (ITSC). Piscataway: IEEE, S. 679-685. ISBN 978-1-5386-7024-8. Verfügbar unter: https://doi.org/10.1109/ITSC.2019.8917517

2018

REWAY, Fabio, Werner HUBER und Eduardo PARENTE RIBEIRO, 2018. Test Methodology for Vision-Based ADAS Algorithms with an Automotive Camera-in-the-Loop. 2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES). New York: IEEE. ISBN 978-1-5386-3543-8. Verfügbar unter: https://doi.org/10.1109/ICVES.2018.8519598