Thao Dang | Markus Enzweiler | Steffen Schober 

A. Baulig, J. Baisch, C. Kl?ck, S. Schober, and H. Knaus. Estimating 2D Wind Vectors Using Automotive FMCW Radar. International Radar Symposium, 2024. https://ieeexplore.ieee.org/document/10644506

J. B?chle, J. H?ringer, N. K?hler, K.-K. ?zer, M. Enzweiler, and R. Marchthaler. Competing with autonomous model vehicles: A software stack for driving in smart city environments. Autonomous Intelligent Systems 4 (1), 1-13, 2024. https://doi.org/10.1007/s43684-024-00074-w

R. Marchthaler and S. Dingler. Kalman-Filter: Einführung in die Zustandssch?tzung und ihre Anwendung für eingebettete Systeme.  Springer Vieweg, Wiesbaden, 2. Aufl. 2024 Edition (30. April 2024). ISBN 978–3658432157. https://doi.org/10.1007/978-3-658-43216-4

S. Falzone, G. Gühring, and B. Jung. Machine Learning and Anomaly Detection for an Automated Monitoring of Log Data. Artificial Intelligence for Security, edited by T. Sipola, J. Alatalo, M. Wolfmayr, and T. Kokkonen. Springer, Cham, 2024. https://doi.org/10.1007/978-3-031-57452-8_13

S. Doll, N. Hanselmann, L. Schneider, R. Schulz, M. Cordts, M. Enzweiler, and H. Lensch. DualAD: Disentangling the Dynamic and Static World for End-to-End Driving. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024. https://arxiv.org/abs/2406.06264 | Project Page

M. Vo?hans, M. Enzweiler, O. Ait-Aider,  and Y. Mezouar. StixelNExT: Toward monocular low-weight perception for obstacle detection and labeling. IEEE Intelligent Vehicles Symposium (IV), 2024. 

F. Schmidt, F. Holzmüller, M. Kaiser, C. Blessing, and M. Enzweiler. Investigating the Impact of Loop Closing on Visual SLAM Localization Accuracy in Agricultural Applications. International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), 2024. (Best Poster Award). https://sensorsportal.com/ASPAI_2024/ASPAI_2024_Proceedings.pdf

S. Ehrenfeuchter, R. Corlito, R. Marchthaler, and M. Enzweiler. Real-Time Semantic Segmentation for Autonomous Scale Cars using Mixed Real and Synthetic Data. International Conference on Mechatronics and Robotics Engineering (ICMRE), 2024. https://doi.org/10.1109/ICMRE60776.2024.10532162

S. Doll, N. Hanselmann, L. Schneider, R. Schulz, M. Enzweiler, and H. P. A. Lensch. S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations. IEEE Robotics and Automation Letters (RA-L), 2023. https://doi.org/10.1109/LRA.2023.3342552

J. Braun, A. Brenner, and G. Gühring. Anomaly detection for parabolic trough power plants with density-based outlierness. AIP Conf. Proc. 6 October 2023; 2815 (1): 090001. https://doi.org/10.1063/5.0149735.

J. Geyer, L.-H. Crone, C. Kl?ck, and S. Schober. Approach to Denoising of Interfered 4-Channel FMCW Radar Data Using Convolutional Neural Network. 24th International Radar Symposium (IRS), Berlin, Germany, 2023, pp. 1-9. https://doi.org/10.23919/IRS57608.2023.10172447.

D. Lagamtzis, F. Schmidt, J. R. Seyler, T. Dang, and S. Schober. Exploiting Spatio-temporal Human-object Relations Using Graph Neural Networks for Human Action Recognition and 3D Motion Forecasting. International Conference on Intelligent Robots and Systems (IROS), 2023. https://doi.org/10.1109/IROS55552.2023.10342491

D. Lagamtzis, F. Schmidt, J. R. Seyler, T. Dang, and S. Schober. Graph Neural Networks for Joint Action Recognition, Prediction, and Motion Forecasting for Industrial Human-Robot Collaboration. International Symposium on Robotics (ISR), 2023. https://www.vde-verlag.de/proceedings-en/456140005.html

K. A. Mazhar, M. Brodtbeck, and G. Gühring. Similarity Learning of Product Descriptions and Images Using Multimodal Neural Networks. Natural Language Processing Journal, vol. 4, pp. 100029, 2023. https://doi.org/10.1016/j.nlp.2023.100029.

C. B. Rist, D. Emmerichs, M. Enzweiler, and D. M. Gavrila. Semantic Scene Completion Using Local Deep Implicit Functions on LiDAR Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 10, pp. 7205-7218, 2022. https://doi.org/10.1109/TPAMI.2021.3095302.

D. Lagamtzis, F. Schmidt, J. R. Seyler, and T. Dang. CoAx: Collaborative Action Dataset for Human Motion Forecasting in an Industrial Workspace. Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, pp. 98-105, 2022. https://doi.org/10.5220/0010775600003116.

S. Doll, R. Schulz, L. Schneider, V. Benzin, M. Enzweiler, and H. P. A. Lensch. SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection from Multi-View Camera Images with Global Cross-Sensor Attention. In: S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, T. Hassner (eds.), Computer Vision - European Conference on Computer Vision 2022, pp. 230-245, 2022. https://doi.org/10.1007/978-3-031-19842-7_14.

A. J?ggle, M. Vo?hans, M. Probst, N. Mursinsky, A. Vaskevic, T. Heisig, R. Marchthaler, and R. W?rner. Connected Traffic Systems Based on Referenced Landmarks as Part of Conventional Road Infrastructure. In: H. Proff (ed.), Transforming Mobility -- What Next? Technische und betriebswirtschaftliche Aspekte, Springer Fachmedien Wiesbaden, Wiesbaden, pp. 339-353, 2022. https://doi.org/10.1007/978-3-658-36430-4_20.

M. A. Lehmann, D. P. Mair, and G. Gühring. Danger Detection for Cyclists with Machine Learning (in the City of Copenhagen). International Journal for Traffic and Transport Engineering (IJTTE), vol. 12, no. 2, pp. 272-290, 2022. https://doi.org/10.7708/ijtte2022.12(2).09.

T. G?nzle, C. Kl?ck, and K. Heuschkel. Real-Time Vital Sign Detection Using a 77 GHz FMCW Radar. 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), pp. 148-153, 2022. https://doi.org/10.1109/IECBES54088.2022.10079417.

D. B??ler, T. Kortus, and G. Gühring. Unsupervised Anomaly Detection in Multivariate Time Series with Online Evolving Spiking Neural Networks. Machine Learning, vol. 111, no. 4, pp. 1377-1408, 2022. https://doi.org/10.1007/s10994-022-06129-4.

M. Erz, J. Kielman, B. Uzun, and G. Gühring. Anomaly Detection in Multidimensional Time Series - A Graph-Based Approach. Journal of Physics: Complexity, vol. 2, 2021. https://doi.org/10.1088/2632-072X/ac392c.

T. Kortus, T. Krüger, G. Gühring, and K. Lente. Automated Robust Interpretation of Intraoperative Electrophysiological Signals – A Bayesian Deep Learning Approach. Current Directions in Biomedical Engineering, vol. 7, pp. 69-72, 2021. https://doi.org/10.1515/cdbme-2021-2018.

C. Kl?ck. FIR Filter Design Method Based on LASSO to Adjust the Number of Non-zero Coefficients. 2021 International Conference on Computer, Information and Telecommunication Systems (CITS), pp. 1-5, 2021. https://doi.org/10.1109/CITS52676.2021.9618507.

H. Braun, M. Gerke, and R. Marchthaler. Künstliche Intelligenz verhindert Verkehrsunf?lle, 1st ed. G?ttingen: Cuvillier Verlag, 2021. https://doi.org/10.18445/20210903-131911-0.

S. Duong, D. Kahrizi, S. Mettler, and C. Kl?ck. Moving Target Classification with a Dual Automotive FMCW Radar System Using Convolutional Neural Networks. 21st International Radar Symposium (IRS), pp. 1-9, 2021. https://doi.org/10.23919/IRS51887.2021.9466195.

H. Braun, M. Gerke, and R. Marchthaler. Sicherheit beim autonomen Fahren - Bewertung durch maximale Entropie. ATZ - Automobiltechnische Zeitschrift, vol. 123, pp. 64-69, 2021. https://doi.org/10.1007/s35148-020-0654-2.

S. Cakir, M. Gau?, K. H?ppeler, Y. Ounajjar, F. Heinle, and R. Marchthaler. Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time Capability, 2022. arXiv:2207.12939 [cs.CV]. https://doi.org/10.48550/arXiv.2207.12939.

R. Marchthaler. Adaptive Extended Kalman Filter (ROSE-Filter) for Positioning System, 2021. arXiv:2108.11321 [eess.SY]. https://doi.org/10.48550/arXiv.2108.11321.