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 | 70 | 2021 |
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 | 64 | 2022 |
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 | 52 | 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 | 36 | 2018 |
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 | 9 | 2021 |
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 | 8 | 2020 |
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 | 5 | 2022 |
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 App. 17/054,650, 2021 | 5 | 2021 |
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 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 |
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 | | 2023 |