Oliver Scheel

Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction

Nassir Navab, Federico Tombari, Oliver Scheel, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Explicit Domain Adaptation With Loosely Coupled Samples

Federico Tombari, Nassir Navab, Oliver Scheel, 2020, IEEE Robotics and Automation Letters.

Using Deep Neural Networks for Scene Understanding and Behaviour Prediction in Autonomous Driving

Oliver Scheel, 2020 .

Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models

Federico Tombari, Oliver Scheel, Luigi Di Stefano, 2020, IEEE Robotics and Automation Letters.

Attention-based Lane Change Prediction

Nassir Navab, Federico Tombari, Oliver Scheel, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction

Nassir Navab, Federico Tombari, Oliver Scheel, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Zur Wirkung und Effektivität von Dialog- und Beteiligungsformaten

Oliver Scheel, Ortwin Renn, Rüdiger Goldschmidt, 2012 .

What data do we need for training an AV motion planner?

Oliver Scheel, Peter Ondruska, Stefanie Speichert, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients

Oliver Scheel, Peter Ondruska, Maciej Wolczyk, 2021, CoRL.

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations

Oliver Scheel, Peter Ondruska, Luca Del Pero, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).