| Maneuver-based Resimulation of Driving Scenarios based on Real Driving Data F Montanari, C Stadler, J Sichermann, R German, A Djanatliev 2021 IEEE Intelligent Vehicles Symposium (IV), 1124-1131, 2021 | 25 | 2021 |
| A Credibility Assessment Approach for Scenario-Based Virtual Testing of Automated Driving Functions C Stadler, F Montanari, W Baron, C Sippl, A Djanatliev IEEE Open Journal of Intelligent Transportation Systems, 2022 | 23 | 2022 |
| Pattern recognition for driving scenario detection in real driving data F Montanari, R German, A Djanatliev 2020 IEEE Intelligent Vehicles Symposium (IV), 590-597, 2020 | 16 | 2020 |
| Scenario Detection in Unlabeled Real Driving Data with a Rule-Based State Machine Supported by a Recurrent Neural Network F Montanari, H Ren, A Djanatliev 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-5, 2021 | 9 | 2021 |
| Automatic Generation of Test Scenarios and Simulation Scenarios based on Real-World Driving Data F Montanari Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2023 | | 2023 |
Anatoli DjanatlievProfessor in Computer Science at University of Applied Sciences Ingolstadt在 thi.de 的电子邮件经过验证
Anatoli DjanatlievProfessor in Computer Science at University of Applied Sciences Ingolstadt在 thi.de 的电子邮件经过验证
Reinhard German在 fau.de 的电子邮件经过验证
Haoyu RenTechnical University of Munich在 tum.de 的电子邮件经过验证