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Oliver Scheel
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2020 – today
- 2022
- [j3]Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Recurrent Models for Lane Change Prediction and Situation Assessment. IEEE Trans. Intell. Transp. Syst. 23(10): 17284-17300 (2022) - 2021
- [c6]Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska:
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. CoRL 2021: 718-728 - [c5]Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondruska:
What data do we need for training an AV motion planner? ICRA 2021: 1066-1072 - [c4]Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska:
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. ICRA 2021: 5119-5125 - [i7]Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska:
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. CoRR abs/2105.12332 (2021) - [i6]Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondruska:
What data do we need for training an AV motion planner? CoRR abs/2105.12337 (2021) - [i5]Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska:
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. CoRR abs/2109.13333 (2021) - 2020
- [b1]Oliver Scheel:
Using Deep Neural Networks for Scene Understanding and Behaviour Prediction in Autonomous Driving. Technical University of Munich, Germany, 2020 - [j2]Alessandro Berlati, Oliver Scheel, Luigi Di Stefano, Federico Tombari:
Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models. IEEE Robotics Autom. Lett. 5(2): 2935-2942 (2020) - [j1]Oliver Scheel, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Explicit Domain Adaptation With Loosely Coupled Samples. IEEE Robotics Autom. Lett. 5(4): 6740-6747 (2020) - [i4]Alessandro Berlati, Oliver Scheel, Luigi Di Stefano, Federico Tombari:
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models. CoRR abs/2003.10381 (2020) - [i3]Oliver Scheel, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Explicit Domain Adaptation with Loosely Coupled Samples. CoRR abs/2004.11995 (2020)
2010 – 2019
- 2019
- [c3]Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Attention-based Lane Change Prediction. ICRA 2019: 8655-8661 - [i2]Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Attention-based Lane Change Prediction. CoRR abs/1903.01246 (2019) - 2018
- [c2]Oliver Scheel, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction. ICRA 2018: 2082-2088 - [c1]Oliver Scheel, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction. ICRA 2018: 2082-2088 - [i1]Oliver Scheel, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction. CoRR abs/1805.06776 (2018)
Coauthor Index
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