| Automated driving in uncertain environments: Planning with interaction and uncertain maneuver prediction C Hubmann, J Schulz, M Becker, D Althoff, C Stiller IEEE transactions on intelligent vehicles 3 (1), 5-17, 2018 | 336 | 2018 |
| Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles C Hubmann, M Becker, D Althoff, D Lenz, C Stiller 2017 IEEE intelligent vehicles symposium (IV), 1671-1678, 2017 | 295 | 2017 |
| A combined model-and learning-based framework for interaction-aware maneuver prediction M Bahram, C Hubmann, A Lawitzky, M Aeberhard, D Wollherr IEEE Transactions on Intelligent Transportation Systems 17 (6), 1538-1550, 2016 | 203 | 2016 |
| A POMDP Maneuver Planner For Occlusions in Urban Scenarios C Hubmann, N Quetschlich, J Schulz, D Althoff, C Stiller 2019 IEEE Intelligent Vehicles Symposium (IV), 2019 | 107 | 2019 |
| Interaction-aware probabilistic behavior prediction in urban environments J Schulz, C Hubmann, J Löchner, D Burschka 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 107 | 2018 |
| A belief state planner for interactive merge maneuvers in congested traffic C Hubmann, J Schulz, G Xu, D Althoff, C Stiller 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 88 | 2018 |
| A generic driving strategy for urban environments C Hubmann, M Aeberhard, C Stiller 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 61 | 2016 |
| Multiple model unscented kalman filtering in dynamic bayesian networks for intention estimation and trajectory prediction J Schulz, C Hubmann, J Löchner, D Burschka 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 58 | 2018 |
| Learning interaction-aware probabilistic driver behavior models from urban scenarios J Schulz, C Hubmann, N Morin, J Löchner, D Burschka 2019 IEEE intelligent vehicles symposium (iv), 1326-1333, 2019 | 35 | 2019 |
| Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception C Hubmann KIT, 2020 | 10 | 2020 |
| Driving System and Method for Selecting an Action Option for an Automated Motor Vehicle D Althoff, C Hubmann, N Quetschlich, J Schulz US Patent App. 17/593,911, 2022 | 1 | 2022 |
| System and method for determining if a vehicle is parked C Fang, KH Lee, LM Ellis, JE Pan, KH Chen, S Pillai, D Molinari, ... US Patent 11,810,367, 2023 | | 2023 |
| Producing a trajectory from a diverse set of possible movements D Molinari, RJ Marcotte, HV Pandya, CFD Hubmann US Patent App. 17/729,637, 2023 | | 2023 |
| Method for computing maneuvers drivable space using piecewise semantic aggregation of trajectories D Molinari, C Hubmann US Patent 11,703,870, 2023 | | 2023 |
| Method for improving temporal consistency of planned maneuvers D Molinari, C Hubmann US Patent App. 17/322,337, 2022 | | 2022 |
| Method for enumerating homotopies for maneuvers using a hierarchy of tolerance relations D Molinari, C Hubmann US Patent App. 17/316,618, 2022 | | 2022 |
| Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception C Hubmann Dissertation, Karlsruhe, Karlsruher Institut für Technologie (KIT), 2019, 0 | | |
Jens SchulzTechnical University of MunichVerified email at tum.de
