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Philipp Rigoll
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Trajectory-based clustering of real-world urban driving sequences with multiple traffic objects
L Ries, P Rigoll, T Braun, T Schulik, J Daube, E Sax
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
152021
Towards a Data Engineering Process in Data-Driven Systems Engineering
P Petersen, H Stage, J Langner, L Ries, P Rigoll, CP Hohl, E Sax
2022 IEEE International Symposium on Systems Engineering (ISSE), 1-8, 2022
92022
Scalable Data Set Distillation for the Development of Automated Driving Functions
P Rigoll, L Ries, E Sax
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
42022
Focus on the Challenges: Analysis of a User-friendly Data Search Approach with CLIP in the Automotive Domain
P Rigoll, P Petersen, H Stage, L Ries, E Sax
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
22023
Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets
P Rigoll, J Langner, E Sax
arXiv preprint arXiv:2312.01860, 2023
12023
Augmentation of camera data via Generative Adversarial Networks (GANs) for the validation of automated driving functions
P Rigoll, P Petersen, L Ries, J Langner, E Sax
35. VDI-Tagung: Fahrerassistenzsysteme und automatisiertes Fahren, 41-48, 2022
1*2022
CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing
P Rigoll, L Adolph, L Ries, E Sax
arXiv preprint arXiv:2404.05309, 2024
2024
Parameterizable Lidar-Assisted Traffic Sign Placement for the Augmentation of Driving Situations with CycleGAN
P Rigoll, P Petersen, J Langner, E Sax
Advances in Systems Engineering: Proceedings of the 28th International …, 2022
2022
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