Veröffentlichungen
2026
Ausstehend
Beitrag auf der Transport Research Arena (TRA)
- Prediction of road surface features related to tire road noise using machine learning
Esther Chevalier, Johannes Hiller
Beitrag auf der IEEE Intelligent Vehicles (IV)
- RoadAceVision: Deep Multimodal Learning for Road Surface Classification
Mustafa Demetgül, Lukas Schwemer, Sanja Lazarova-Molnar
Abgeschlossen
25. – 26.03.2026: Vorträge auf der 5th International Tyre Colloquium (IAVSD) in Kaiserslautern
- Novel Approach for Digital Footprints on 3D-printed Road Surface Replicas
Gunnar Böttcher, Benjamin Schäfer, Lutz Eckstein, Christian Bachmann - Classification of Tyre Type and Pressure from Pass-by Noise
Mustafa Demetgül, Lukas Schwemer, Sanja Lazarova-Molnar
24. – 26.03.2026: Vorträge auf der Jahrestagung der Akustik (DAGA) in Dresden
- Vom Nahfeld zur Oberfläche: Maschinelles Lernen zur Charakterisierung akustischer Fahrbahneigenschaften
Philipp Cohrs, Esther Chevalier - Project Tyre Road Noise - Model-based transfer from OBSI measurements to pass-by
Mario Winter, Gunnar Böttcher, Carolin Schliephake, Dominik Werner - Tyre–Road Noise Prediction Using Multi-Task Learning and LOGO Cross-Validation
Mustafa Demetgül, Marc Heinzelmann, Sanja Lazarova-Molnar
Measurement Journal
- Data-Driven Artificial Intelligence Applications for Tyre-Road-Noise Prediction and Road Condition Monitoring: A Review and Future Directions
Mustafa Demetgül, Sanja Lazarova-Molnar
2025
19. – 22.10.2025: Vortrag auf der IEEE 102nd Vehicular Technology Conference: VTC2025-Fall, Chengdu, China
- Data Requirements for Tire-Road Monitoring: A Roadmap for Data Collection, Processing, and Decision Making
Mustafa Demetgül, Jiawen Meng, Sanja Lazarova-Molnar, Alexey Vinel
25.11.2025: Vorträge auf dem 16th Aachen Acoustics Colloquium, Aachen
- Integrated Acoustic Measurement Framework for Tyre-Road Noise Analysis
Mario Winter, Carolin Schliephake, Gunnar Böttcher, Ventseslav Yordanov, Dominik Werner - Development and execution of tyre road noise measurements - Development of an Estimation Method for the Pass-by Noise
Autor: Gregor Richartz, Jannis Klaus - Interpretable Tyre-Road Noise Prediction Using Structured Multimodal Machine Learning
Jiawen Meng - Multi-Scale Sensor Fusion for Tire-Road Noise Prediction
Mustafa Demetgül
16.09.2025: Vortrag auf der 22nd International Conference Tire – Chassis – Road, Esslingen
- Machine Learning Framework for Road Surface Classification: A New Approach to Predict and Reduce Tire-Road Noise
Sérgio Callai, Julian Kohlmeier, Álvaro Gárcia Hernandez
18.03.2025: Vorträge auf der DAGA 2025, Kopenhagen
- Assessing Tyre-Road Noise: Insights from Texture Analysis and Acoustic Characterization
Philipp Cohrs, Esther Chevalier - Validation of Sound Absorption Coefficients for Tyre-Road Noise Prediction
Autor: Fabio Strigari - Project Tyre Road Noise - Development of an Estimation Method for the Pass-by Noise
Gunnar Böttcher, Carolin Schliephake, Ventseslav Yordanov, Dominik Werner
2024
- 25.08.2024: Vortrag auf der Inter-Noise 2024, Nantes
"Projekt TyreRoadNoise" – Data-based study of effects on controlled and real drive noise emission
Jiawen Meng, Achim Winandi, Frank Gauterin
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- 19.03.2024: Projektvorstellung auf der DAGA 2024