| Time Series Segmentation for Driving Scenario Detection with Fully Convolutional Networks. P Elspas, Y Klose, ST Isele, J Bach, E Sax VEHITS, 56-64, 2021 | 16 | 2021 |
| Leveraging Regular Expressions for Flexible Scenario Detection in Recorded Driving Data P Elspas, J Langner, M Aydinbas, J Bach, E Sax 2020 IEEE International Symposium on Systems Engineering (ISSE), 1-8, 2020 | 16 | 2020 |
| Towards a Scenario Database from Recorded Driving Data with Regular Expressions for Scenario Detection. P Elspas, J Lindner, M Brosowsky, J Bach, E Sax VEHITS, 400-409, 2022 | 5 | 2022 |
| Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks M Brosowsky, P Orschau, O Dünkel, P Elspas, D Slieter, M Zöllner 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-09, 2021 | 5 | 2021 |
| Neural networks for end-to-end refinement of simulated sensor data for automotive applications J Thieling, P Elspas, J Roßmann 2019 IEEE International Systems Conference (SysCon), 1-8, 2019 | 5 | 2019 |
| Towards Scenario Retrieval of Real Driving Data with Large Vision-Language Models. TS Sohn, M Dillitzer, L Ewecker, T Brühl, R Schwager, L Dalke, P Elspas, ... VEHITS, 496-505, 2024 | 1 | 2024 |
| Statistical Consideration of the Representativeness of Open Road Tests for the Validation of Automated Driving Systems J Langner, R Pohl, J Ransiek, P Elspas, E Sax 2023 IEEE International Automated Vehicle Validation Conference (IAVVC), 1-8, 2023 | | 2023 |
