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Start Intention Detection of Cyclists using an LSTM Network., , , , and . GI-Jahrestagung (Workshops), volume P-295 of LNI, page 219-228. GI, (2019)Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks., , , and . ICPR Workshops (1), volume 12661 of Lecture Notes in Computer Science, page 57-71. Springer, (2020)Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information., , , , and . ISC2, page 1-7. IEEE, (2021)A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection., , , , and . IV, page 265-272. IEEE, (2022)Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists., , , , , , and . IV Workshops, page 272-279. IEEE, (2021)Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks., , , , and . IV, page 810-815. IEEE, (2019)Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks, , , and . Workshop on Integrated Artificial Intelligence in Data Science, ICPR, page 57--71. Springer, (2021)Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution, , , , and . International Conference on Pattern Recognition (ICPR), page 2620--2626. IEEE, (2021)Cyclist Motion State Forecasting - Going beyond Detection., , , , and . SSCI, page 1-8. IEEE, (2021)Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories., , , , and . CoRR, (2021)