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Viktor Kress
Viktor Kress
Research Associate, University of Applied Sciences Aschaffenburg
Verified email at th-ab.de
Title
Cited by
Cited by
Year
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
212019
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
192018
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
132018
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
102019
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
72022
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
62022
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
52019
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
42021
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
42020
Start intention detection of cyclists using an LSTM network
V Kress, J Jung, S Zernetsch, K Doll, B Sick
Gesellschaft für Informatik eV, 2019
42019
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
32021
Cyclist intention detection: A probabilistic approach
S Zernetsch, H Reichert, V Kress, K Doll, B Sick
arXiv preprint arXiv:2104.09176, 2021
32021
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
22018
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
12021
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, ...
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