Trajectory forecasts with uncertainties of vulnerable road users by means of neural networks S Zernetsch, H Reichert, V Kress, K Doll, B Sick 2019 IEEE Intelligent Vehicles Symposium (IV), 810-815, 2019 | 21 | 2019 |
Early start intention detection of cyclists using motion history images and a deep residual network S Zernetsch, V Kress, B Sick, K Doll 2018 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2018 | 19 | 2018 |
Human pose estimation in real traffic scenes V Kress, J Jung, S Zernetsch, K Doll, B Sick 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 518-523, 2018 | 13 | 2018 |
Pose based start intention detection of cyclists V Kress, J Jung, S Zernetsch, K Doll, B Sick 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2381-2386, 2019 | 10 | 2019 |
A holistic view on probabilistic trajectory forecasting–case study. cyclist intention detection S Zernetsch, H Reichert, V Kress, K Doll, B Sick 2022 IEEE Intelligent Vehicles Symposium (IV), 265-272, 2022 | 8 | 2022 |
Pose and semantic map based probabilistic forecast of vulnerable road users trajectories V Kress, F Jeske, S Zernetsch, K Doll, B Sick IEEE Transactions on Intelligent Vehicles, 2022 | 6 | 2022 |
Pose based trajectory forecast of vulnerable road users V Kress, S Zernetsch, K Doll, B Sick 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1200-1207, 2019 | 5 | 2019 |
Image sequence based cyclist action recognition using multi-stream 3d convolution S Zernetsch, S Schreck, V Kress, K Doll, B Sick 2020 25th International Conference on Pattern Recognition (ICPR), 2620-2626, 2021 | 4 | 2021 |
Pose based action recognition of vulnerable road users using recurrent neural networks V Kress, S Schreck, S Zernetsch, K Doll, B Sick 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2723-2730, 2020 | 4 | 2020 |
Start intention detection of cyclists using an LSTM network V Kress, J Jung, S Zernetsch, K Doll, B Sick Gesellschaft für Informatik eV, 2019 | 4 | 2019 |
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information S Zernetsch, O Trupp, V Kress, K Doll, B Sick 2021 IEEE International Smart Cities Conference (ISC2), 1-7, 2021 | 3 | 2021 |
Cyclist intention detection: A probabilistic approach S Zernetsch, H Reichert, V Kress, K Doll, B Sick arXiv preprint arXiv:2104.09176, 2021 | 3 | 2021 |
Highly automated learning for improved active safety of vulnerable road users M Bieshaar, G Reitberger, V Kreß, S Zernetsch, K Doll, E Fuchs, B Sick arXiv preprint arXiv:1803.03479, 2018 | 2 | 2018 |
Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks V Kress, S Zernetsch, K Doll, B Sick Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 1 | 2021 |
Posenbasierte Intentionserkennung von ungeschützten Verkehrsteilnehmern aus einem Fahrzeug V Kreß BoD–Books on Demand, 2023 | | 2023 |
Universelle Softwarearchitektur für die autonome Exploration mit mobilen Robotern am Beispiel des ROS-basierten EtaBot P Fischer, V Kreß, M Rieder Tagungsband AALE 2016: 13. Fachkonferenz, 85-94, 2016 | | 2016 |
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence S Zernetsch, G Reitberger, V Kress, H Reichert, J Schneegans, K Doll, ... | | |