Constantin Hubmann
Constantin Hubmann
Toyota Research Institute (TRI), Karlsruhe Institute of Technology (KIT)
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Zitiert von
Zitiert von
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
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
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
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
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
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
A generic driving strategy for urban environments
C Hubmann, M Aeberhard, C Stiller
2016 IEEE 19th International Conference on Intelligent Transportation …, 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
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
Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception
C Hubmann
KIT, 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
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
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
Method for computing maneuvers drivable space using piecewise semantic aggregation of trajectories
D Molinari, C Hubmann
US Patent 11,703,870, 2023
Method for improving temporal consistency of planned maneuvers
D Molinari, C Hubmann
US Patent App. 17/322,337, 2022
Method for enumerating homotopies for maneuvers using a hierarchy of tolerance relations
D Molinari, C Hubmann
US Patent App. 17/316,618, 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
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