Prof. Dr.-Ing. Werner Huber

Head of CARISSMA Institute of Automated Driving (C-IAD)

+49 841 9348-2523

Werner.Huber@thi.de

Room: H020

Subject Area: Integral vehicle safety and its test methods

Faculty: Fakultät E

Research

Test and validation of automated driving functions in reality and simulation
Sensor, function and traffic simulation
Mixed reality test environment, X-in-the Loop (HiL, MiL ViL, Sensor in the Loop)
Head of CARISSMA Institute of Automated Driving (C-IAD)

Vita

Since 2016 at THI
07/2012 - 06/2016: Head of Perception and Automated Driving Research Group at BMW Group Forschung GmbH
12/2008 - 06/2012: Head of Overall Vehicle Architecture and Integration of Driver Assistance Systems; BMW Group
02/2008 - 11/2008: Research associate at the Technical University of Munich, Department of Traffic Engineering
2001: Doctorate at the Technical University of Munich; dissertation "Vehicle-generated data for obtaining traffic information".
05/1991 - 08/1996: Research Scientist TU Munich FG Traffic Engineering
1984 - 1991: Studies in Civil Engineering/Traffic Engineering at the Technical University of Munich

Publications

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

Awards and memberships

Rotary Research Award 2023 of the Rotary Club Ingolstadt
ITS-Bavaria Board Member
Road and Transport Research Association, AA 3.1 Telematics
Expert Advisory Board of the ADAC Foundation

Publications

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, Page 2021-2026. ISBN 979-8-3315-0592-9. Available at: 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, Page 4034-4039. ISBN 979-8-3315-0592-9. Available at: 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, Page 1410-1417. ISBN 979-8-3315-0592-9. Available at: 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, Page 3964-3969. ISBN 979-8-3503-9946-2. Available at: 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. Available at: 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. Available at: 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, Page 2451-2457. ISBN 979-8-3503-4881-1. Available at: 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. Available at: 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, Page 992-999. ISBN 979-8-3503-9946-2. Available at: 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, Page 4435-4444. ISBN 979-8-3503-1892-0. Available at: 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. Available at: 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, Editors Proceedings: 2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT 2022). Los Alamitos: IEEE, Page 174-181. ISBN 978-1-6654-6126-9. Available at: 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, Page 333-336. ISBN 979-8-4007-0112-2. Available at: 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. Available at: 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. Available at: 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. Available at: 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, Editors Proceedings: 2023 Third International Conference on Digital Data Processing, DDP 2023. Piscataway: IEEE, Page 188-194. ISBN 979-8-3503-2901-8. Available at: 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. Available at: 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, Page 1183-1190. ISBN 978-1-6654-6880-0. Available at: 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. Available at: 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, Page 866-872. ISBN 978-1-6654-6880-0. Available at: 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. Available at: 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, Page 903-908. ISBN 978-1-6654-8821-1. Available at: 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. Available at: 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, Page 4005-4010. ISBN 978-1-6654-6880-0. Available at: 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. Available at: 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, Page 83-89. ISBN 978-1-6654-7921-9. Available at: 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, Page 219-225. ISBN 978-1-7281-6673-5. Available at: 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, Page 3300-3306. ISBN 978-1-7281-9142-3. Available at: 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, Editors Tagungsband Mensch & Computer 2021. New York: ACM, Page 605-608. ISBN 978-1-4503-8645-6. Available at: 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, Page 229-232. ISBN 978-1-4503-8641-8. Available at: 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, Editors 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, Page 211-222. ISBN 978-3-030-71454-3. Available at: 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, Page 1249-1256. ISBN 978-1-7281-6673-5. Available at: 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. Available at: 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, Page 552-558. ISBN 978-989-758-419-0. Available at: 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, Page 43-52. ISBN 978-3-658-27808-3. Available at: 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. Available at: 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. Available at: 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, Page 679-685. ISBN 978-1-5386-7024-8. Available at: 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. Available at: https://doi.org/10.1109/ICVES.2018.8519598