| Uncertainty in machine learning: A safety perspective on autonomous driving S Shafaei, S Kugele, MH Osman, A Knoll Computer Safety, Reliability, and Security: SAFECOMP 2018 Workshops, ASSURE …, 2018 | 89 | 2018 |
| Formally verifiable modeling of in-vehicle time-sensitive networks (TSN) based on logic programming MH Farzaneh, S Shafaei, A Knoll 2016 IEEE Vehicular Networking Conference (VNC), 1-4, 2016 | 29 | 2016 |
| Research challenges for a future-proof e/e architecture-a project statement S Kugele, V Cebotari, M Gleirscher, M Hashemi, C Segler, S Shafaei, ... Gesellschaft für Informatik, Bonn, 2017 | 18 | 2017 |
| Integration of driver behavior into emotion recognition systems: A preliminary study on steering wheel and vehicle acceleration S Shafaei, T Hacizade, A Knoll Computer Vision–ACCV 2018 Workshops: 14th Asian Conference on Computer …, 2019 | 13 | 2019 |
| Elastic service provision for intelligent vehicle functions S Kugele, D Hettler, S Shafaei 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 10 | 2018 |
| Monitoring safety of autonomous vehicles with crash prediction networks S Nair, S Shafaei, S Kugele, MH Osman, A Knoll The AAAI's Workshop on Artificial Intelligence Safety, 2019 | 9 | 2019 |
| Run-time safety monitoring framework for AI-based systems: Automated driving cases MH Osman, S Kugele, S Shafaei 2019 26th Asia-Pacific Software Engineering Conference (APSEC), 442-449, 2019 | 8 | 2019 |
| A framework for safety violation identification and assessment in autonomous driving L Heinzmann, S Shafaei, MH Osman, C Segler, A Knoll AISafety 2019 (The IJCAI-19 Workshop on Artificial Intelligence Safety), 2019 | 7 | 2019 |
| Anomaly detection for advanced driver assistance systems using online feature selection C Segler, S Kugele, P Obergfell, MH Osman, S Shafaci, E Sax, A Knoll 2019 IEEE Intelligent Vehicles Symposium (IV), 578-585, 2019 | 6 | 2019 |
| Evaluation of feature selection for anomaly detection in automotive e/e architectures C Segler, S Kugele, P Obergfell, MH Osman, S Shafaei, E Sax, A Knoll 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 5 | 2019 |
| A flexible scheduling architecture of resource distribution proposal for autonomous driving platforms H Askaripoor, S Shafaei, A Knoll Proceedings of the 7th International Conference on Vehicle Technology and …, 2021 | 4 | 2021 |
| Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier M Hammann, M Kraus, S Shafaei, A Knoll arXiv preprint arXiv:2003.00770, 2020 | 3 | 2020 |
| An Evaluation of “Crash Prediction Networks”(CPN) for Autonomous Driving Scenarios in CARLA Simulator S Nair, S Shafaei, D Auge, A Knoll | 2 | 2021 |
| Context prediction architectures in next generation of intelligent cars S Shafaei, F Müller, T Salzmann, MH Farzaneh, S Kugele, A Knoll 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 2 | 2018 |
| Enabling Context Prediction Architectures in Intelligent Vehicle Platforms S Shafaei Technische Universität München, 2022 | | 2022 |
| Verfahren, Vorrichtung, Computerprogramm und Computerprogrammprodukt zur Datenbearbeitung für ein Fahrzeug C Segler, S Shafaei | | 2018 |
| Abnormal Driver Behavior Detection for Automated Emotion Recognition (Poster) M Kuscu, S Shafaei, A Knoll | | 2018 |
| A Regression-based Control Approach for Limited Slip Differencial: Technischer Bericht AM Radut, S Shafaei Technische Universität München, Institut für Informatik, 2017 | | 2017 |
| A Regression-based Control Approach for Limited Slip Differencial AM Radut, S Shafaei | | 2017 |
| “Crash Prediction Networks”(CPN) S Nair, S Shafaei, D Auge, A Knoll | | |
