Alexander Fertig, M.Sc.

Research

Research Focus:

• Automotive Sensor Systems
• Representation Learning
• Anomaly Detection and Clustering

Project: Intelligent Anomaly Recording

Publications

• R. Egolf, A. Fertig and M. Botsch, "Conditioned Trajectory Generation for Realistic Driving Scenarios via a Hybrid Machine Learning Architecture," 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), Gold Coast, Australia, 2025. [ IEEE ]
• A. Fertig, L. Balasubramanian and M. Botsch, „Clustering and Anomaly Detection in Embedding Spaces for the Validation of Automotive Sensors“, 2024 IEEE Intelligent Vehicles Symposium (IV), pp. 1076-1083, 2024. [ IEEE ]
• A. Fertig, L. Balasubramanian and M. Botsch, "Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction," 2025 IEEE Intelligent Vehicles Symposium (IV), Cluj-Napoca, Romania, 2025. [ IEEE | arXiv ]