TY - CHAP A1 - Fertig, Alexander A1 - Balasubramanian, Lakshman A1 - Botsch, Michael T1 - Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction T2 - 2025 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV64158.2025.11097759 Y1 - 2025 UR - https://doi.org/10.1109/IV64158.2025.11097759 SN - 979-8-3315-3803-3 SP - 38 EP - 44 PB - IEEE CY - Piscataway ER - TY - INPR A1 - Fertig, Alexander A1 - Balasubramanian, Lakshman A1 - Botsch, Michael T1 - Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction UR - https://doi.org/10.48550/arXiv.2501.03666 Y1 - 2025 UR - https://doi.org/10.48550/arXiv.2501.03666 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Wurst, Jonas A1 - Balasubramanian, Lakshman A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder T2 - 2021 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV48863.2021.9575730 Y1 - 2021 UR - https://doi.org/10.1109/IV48863.2021.9575730 SN - 978-1-7281-5394-0 SP - 1304 EP - 1311 PB - IEEE CY - Piscataway ER - TY - INPR A1 - Wurst, Jonas A1 - Balasubramanian, Lakshman A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder UR - https://doi.org/10.48550/arXiv.2105.01924 Y1 - 2021 UR - https://doi.org/10.48550/arXiv.2105.01924 PB - arXiv CY - Ithaca ER -