| Urban driver: Learning to drive from real-world demonstrations using policy gradients O Scheel, L Bergamini, M Wolczyk, B Osiński, P Ondruska Conference on Robot Learning, 718-728, 2022 | 175 | 2022 |
| Simnet: Learning reactive self-driving simulations from real-world observations L Bergamini, Y Ye, O Scheel, L Chen, C Hu, L Del Pero, B Osiński, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 5119-5125, 2021 | 144 | 2021 |
| Attention-based lane change prediction O Scheel, NS Nagaraja, L Schwarz, N Navab, F Tombari 2019 International Conference on Robotics and Automation (ICRA), 8655-8661, 2019 | 68 | 2019 |
| Situation assessment for planning lane changes: Combining recurrent models and prediction O Scheel, L Schwarz, N Navab, F Tombari 2018 IEEE International Conference on Robotics and Automation (ICRA), 2082-2088, 2018 | 42 | 2018 |
| Recurrent models for lane change prediction and situation assessment O Scheel, NS Nagaraja, L Schwarz, N Navab, F Tombari IEEE Transactions on Intelligent Transportation Systems 23 (10), 17284-17300, 2022 | 23 | 2022 |
| What data do we need for training an av motion planner? L Chen, L Platinsky, S Speichert, B Osiński, O Scheel, Y Ye, H Grimmett, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 1066-1072, 2021 | 21 | 2021 |
| Method and apparatus for determining information related to a lane change of target vehicle, method and apparatus for determining a vehicle comfort metric for a prediction of a … NS NAGARAJA, O Scheel, L Schwarz US Patent 12,049,230, 2024 | 12 | 2024 |
| Ambiguity in sequential data: Predicting uncertain futures with recurrent models A Berlati, O Scheel, L Di Stefano, F Tombari IEEE Robotics and Automation Letters 5 (2), 2935-2942, 2020 | 12 | 2020 |
| Explicit domain adaptation with loosely coupled samples O Scheel, L Schwarz, N Navab, F Tombari IEEE Robotics and Automation Letters 5 (4), 6740-6747, 2020 | 3 | 2020 |
| Using deep neural networks for scene understanding and behaviour prediction in autonomous driving O Scheel Technische Universität München, 2020 | 3 | 2020 |
| Method and apparatus for determining a vehicle comfort metric for a prediction of a driving maneuver of a target vehicle NS NAGARAJA, O Scheel, L Schwarz US Patent 11,577,750, 2023 | 1 | 2023 |
| Perfect Prediction or Plenty of Proposals? What Matters Most in Planning for Autonomous Driving A Distelzweig, F Janjoš, O Scheel, SR Varra, R Rajan, J Boedecker arXiv preprint arXiv:2510.15505, 2025 | | 2025 |
| Method for driving maneuver assistance of a vehicle, device, computer program, and computer program product O Scheel, L Schwarz US Patent 11,820,379, 2023 | | 2023 |
Peter OndrúškaCTO, Coram.aiVerified email at ondruska.com
