| Vision-based mobile robotics obstacle avoidance with deep reinforcement learning P Wenzel, T Schön, L Leal-Taixé, D Cremers 2021 IEEE international conference on robotics and automation (ICRA), 14360 …, 2021 | 56 | 2021 |
| Physarum learner: A bio-inspired way of learning structure from data T Schön, M Stetter, AM Tomé, CG Puntonet, EW Lang Expert systems with applications 41 (11), 5353-5370, 2014 | 16 | 2014 |
| Latent space reinforcement learning for steering angle prediction Q Khan, T Schön, P Wenzel arXiv preprint arXiv:1902.03765, 2019 | 12 | 2019 |
| Temporally coherent video anonymization through gan inpainting T Balaji, P Blies, G Göri, R Mitsch, M Wasserer, T Schön arXiv preprint arXiv:2106.02328, 2021 | 11 | 2021 |
| Efficient noninvasive FHB estimation using RGB images from a novel multiyear, multirater dataset D Rößle, L Prey, L Ramgraber, A Hanemann, D Cremers, PO Noack, ... Plant Phenomics 5, 0068, 2023 | 7 | 2023 |
| Deep sensor fusion with pyramid fusion networks for 3D semantic segmentation H Schieber, F Duerr, T Schoen, J Beyerer 2022 IEEE Intelligent Vehicles Symposium (IV), 375-381, 2022 | 7 | 2022 |
| Enhancing realistic floating car observers in microscopic traffic simulation J Gerner, D Rößle, D Cremers, K Bogenberger, T Schoen, S Schmidtner 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 6 | 2023 |
| Generation of realistic synthetic raw radar data for automated driving applications using generative adversarial networks EC Fidelis, F Reway, H Ribeiro, PL Campos, W Huber, C Icking, LA Faria, ... arXiv preprint arXiv:2308.02632, 2023 | 6 | 2023 |
| Predicting driver behavior on the highway with multi-agent adversarial inverse reinforcement learning H Radtke, H Bey, M Sackmann, T Schön 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 5 | 2023 |
| Method for assisting a driver of a motor vehicle with respect to an imminent overtaking maneuver, and motor vehicle D Profendiner, T Schön US Patent 10,643,470, 2020 | 5 | 2020 |
| Semantic label reduction techniques for autonomous driving Q Khan, T Schön, P Wenzel arXiv preprint arXiv:1902.03777, 2019 | 4 | 2019 |
| Structure learning for Bayesian networks using the physarum solver T Schön, M Stetter, EW Lang 2012 11th International Conference on Machine Learning and Applications 1 …, 2012 | 4 | 2012 |
| Method for operating a motor vehicle with the help of vital physiological data, motor vehicle and mobile terminal device T Schön US Patent 11,485,366, 2022 | 3 | 2022 |
| Towards self-supervised high level sensor fusion Q Khan, T Schön, P Wenzel arXiv preprint arXiv:1902.04272, 2019 | 3 | 2019 |
| Physarum Learner: a novel structure learning algorithm for Bayesian Networks inspired by Physarum polycephalum T Schön | 3 | 2013 |
| A new Physarum learner for network structure learning from biomedical data T Schön, M Stetter, AM Tomé, EW Lang Proceedings of the International Conference on Bio-inspired Systems and …, 2013 | 3 | 2013 |
| Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data T Schön, A Tsymbal, M Huber Intelligent Data Analysis 16 (5), 827-843, 2012 | 3 | 2012 |
| A novel conditional generative adversarial networks for automotive radar range-doppler targets synthetic generation D Wachtel, S Queiroz, T Schön, W Huber, L Faria 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 2 | 2023 |
| Unlocking Past Information: Temporal Embeddings in Cooperative Bird’s Eye View Prediction D Rößle, J Gerner, K Bogenberger, D Cremers, S Schmidtner, T Schön 2024 IEEE Intelligent Vehicles Symposium (IV), 2220-2225, 2024 | 1 | 2024 |
| Controller for a vehicle, system, method, and motor vehicle comprising such a controller S Hanrieder, F Haselbeck, B Poppinga, M Schlittenbauer, J Dumler, ... US Patent App. 18/012,744, 2023 | 1 | 2023 |
Daniel CremersTechnical University of MunichVerified email at tum.de
