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Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network.

, , , and . CoRR, (2018)

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Iterative placement improvement by network flow methods., , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 13 (10): 1189-1200 (1994)Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists., , , , , , and . IV Workshops, page 272-279. IEEE, (2021)A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection., , , , and . IV, page 265-272. IEEE, (2022)Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks., , , , and . IV, page 810-815. IEEE, (2019)Real-time ego-motion estimation using Lidar and a vehicle model based Extended Kalman Filter., , , and . ITSC, page 431-438. IEEE, (2014)Transponder- and Camera-based advanced driver assistance system., , , , and . Intelligent Vehicles Symposium, page 293-298. IEEE, (2012)Cyclist Intention Detection: A Probabilistic Approach., , , , and . CoRR, (2021)Smart Infrastructure: A Research Junction., , , and . CoRR, (2023)DOMINO: Deterministic Placement Improvement with Hill-Climbing Capabilities., , and . VLSI, volume A-1 of IFIP Transactions, page 91-100. North-Holland, (1991)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)