Alexander Fertig, M.Sc.

Research

Research Focus:

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

Projects: 

• CERTAIN
• Intelligent Anomaly Recording

Publications

• A. Fertig and M. Botsch. "Monitoring automotive perception sensors using latent representations", AT automatisierungtechnik, 2026. [ accepted ]
• A. Fertig and M. Botsch. "Run-Time Monitoring Frameworks for Validation of Autonomous Vehicles: A Focused Review of Applications", 2026 IEEE International Conference In Electronic Engineering and Information Technology (EEITE), Chania, Greece, 2026. [ accepted ]
• A. Fertig, K. Sekaran, L. Balasubramanian and M. Botsch, "Online Monitoring Framework for Automotive Time Series Data using JEPA Embeddings “, 2026 IEEE Intelligent Vehicles Symposium (IV), Detroit, MI, USA, 2026. [ accepted | arXiv pre-print ]
• 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, "Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction," 2025 IEEE Intelligent Vehicles Symposium (IV), Cluj-Napoca, Romania, 2025. [ IEEE | arXiv ]
• 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 ]