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Oliver Scheel
Oliver Scheel
Bosch Research
Bestätigte E-Mail-Adresse bei tum.de
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Zitiert von
Zitiert von
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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
702021
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
642022
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
522019
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
362018
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
92021
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
82020
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
52022
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
52021
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
32020
Using deep neural networks for scene understanding and behaviour prediction in autonomous driving
O Scheel
Technische Universität München, 2020
32020
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
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