| Human motion trajectory prediction: A survey A Rudenko, L Palmieri, M Herman, KM Kitani, DM Gavrila, KO Arras The International Journal of Robotics Research 39 (8), 895-935, 2020 | 927 | 2020 |
| Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks J Wagner, V Fischer, M Herman, S Behnke European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016 | 326 | 2016 |
| Wasserstein Adversarial Imitation Learning H Xiao, M Herman, J Wagner, S Ziesche, J Etesami, TH Linh arXiv preprint arXiv:1906.08113, 2019 | 86 | 2019 |
| Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics M Herman, T Gindele, J Wagner, F Schmitt, W Burgard Proceedings of the 19th International Conference on Artificial Intelligence …, 2016 | 86 | 2016 |
| Inverse reinforcement learning of behavioral models for online-adapting navigation strategies M Herman, V Fischer, T Gindele, W Burgard 2015 IEEE International Conference on Robotics and Automation (ICRA), 3215-3222, 2015 | 34 | 2015 |
| Predicting ego-vehicle paths from environmental observations with a deep neural network U Baumann, C Gläser, M Herman, JM Zöllner 2018 IEEE International Conference on Robotics and Automation (ICRA), 1-9, 2018 | 28 | 2018 |
| I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior. F Schmitt, HJ Bieg, M Herman, CA Rothkopf AAAI, 3797-3803, 2017 | 24 | 2017 |
| Classifying Road Intersections Using Transfer-Learning on a Deep Neural Network U Baumann, YY Huang, C Gläser, M Herman, H Banzhaf, JM Zöllner 2018 IEEE 21th International Conference on Intelligent Transportation …, 2018 | 21 | 2018 |
| Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features M Herman, J Wagner, V Prabhakaran, N Möser, H Ziesche, W Ahmed, ... arXiv preprint arXiv:2012.08418, 2020 | 17 | 2020 |
| Predicting lane keeping behavior of visually distracted drivers using inverse suboptimal control F Schmitt, HJ Bieg, D Manstetten, M Herman, R Stiefelhagen 2016 IEEE Intelligent Vehicles Symposium (IV), 412-418, 2016 | 15 | 2016 |
| Exact maximum entropy inverse optimal control for modeling human attention switching and control F Schmitt, HJ Bieg, D Manstetten, M Herman, R Stiefelhagen 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 9 | 2016 |
| Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis M Herman, T Gindele, J Wagner, F Schmitt, C Quignon, W Burgard Australasian Joint Conference on Artificial Intelligence, 525-534, 2016 | 6 | 2016 |
| Learning Semantic Prediction using Pretrained Deep Feedforward Networks J Wagner, V Fischer, M Herman, S Behnke European Symposium on Artificial Neural Networks, Computational Intelligence …, 2017 | 4 | 2017 |
| Simultaneous estimation of rewards and dynamics from noisy expert demonstrations M Herman, T Gindele, J Wagner, F Schmitt, W Burgard European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016 | 2 | 2016 |
| Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation J Wagner, V Fischer, M Herman, S Behnke | 2* | |
| Control system for a motor vehicle and method for adapting the control system A Trachte, B Alt, C Passenberg, M Herman, M Hilsch US Patent App. 17/069,093, 2021 | 1 | 2021 |
| Hierarchical Recurrent Filtering for Fully Convolutional DenseNets J Wagner, V Fischer, M Herman, S Behnke European Symposium on Artificial Neural Networks (ESANN), 2018 | 1 | 2018 |
| Method for training a machine learning model J Wagner, NO Ferguson, S Scheiderer, Y Yao, A Kumar, B Rakitsch, ... US Patent App. 18/476,076, 2024 | | 2024 |
| Method for Generating Additional Training Data for Training a Machine Learning Algorithm E Kosman, A Hiremath, B Rakitsch, G Guersun, J Wagner, M Herman, ... US Patent App. 18/469,166, 2024 | | 2024 |
| Method for training a deep-learning-based machine learning algorithm A Hiremath, B Rakitsch, G Guersun, J Wagner, M Herman, NO Ferguson, ... US Patent App. 18/297,145, 2023 | | 2023 |
Sven BehnkeProfessor for Autonomous Intelligent Systems, Computer Science Institute, University of BonnZweryfikowany adres z cs.uni-bonn.de