Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction. - Oliver Scheel; Loren Arthur Schwarz; Nassir Navab; Federico Tombari (ICRA, 2018)

Attention-based Lane Change Prediction. - Oliver Scheel; Naveen Shankar Nagaraja; Loren Arthur Schwarz; Nassir Navab; Federico Tombari (ICRA, 2019)

Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models. - Alessandro Berlati; Oliver Scheel; Luigi Di Stefano; Federico Tombari (IEEE Robotics Autom. Lett., 2020)

Explicit Domain Adaptation With Loosely Coupled Samples. - Oliver Scheel; Loren Arthur Schwarz; Nassir Navab; Federico Tombari (IEEE Robotics Autom. Lett., 2020)

Using Deep Neural Networks for Scene Understanding and Behaviour Prediction in Autonomous Driving. - Oliver Scheel (2020)

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. - Oliver Scheel; Luca Bergamini; Maciej Wolczyk; Blazej Osinski; Peter Ondruska (CoRL, 2021)

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. - Luca Bergamini; Yawei Ye; Oliver Scheel; Long Chen; Chih Hu; Luca Del Pero; Blazej Osinski; Hugo Grimmett; Peter Ondruska (ICRA, 2021)

What data do we need for training an AV motion planner? - Long Chen; Lukas Platinsky; Stefanie Speichert; Blazej Osinski; Oliver Scheel; Yawei Ye; Hugo Grimmett; Luca Del Pero; Peter Ondruska (ICRA, 2021)

Recurrent Models for Lane Change Prediction and Situation Assessment. - Oliver Scheel; Naveen Shankar Nagaraja; Loren Arthur Schwarz; Nassir Navab; Federico Tombari (IEEE Trans. Intell. Transp. Syst., 2022)