| An integrated approach to maneuver-based trajectory prediction and criticality assessment in arbitrary road environments M Schreier, V Willert, J Adamy IEEE Transactions on Intelligent Transportation Systems 17 (10), 2751-2766, 2016 | 205 | 2016 |
| Bayesian, maneuver-based, long-term trajectory prediction and criticality assessment for driver assistance systems M Schreier, V Willert, J Adamy 17th international IEEE conference on intelligent transportation systems …, 2014 | 179 | 2014 |
| Modeling and adaptive control of a quadrotor M Schreier 2012 IEEE international conference on mechatronics and automation, 383-390, 2012 | 91 | 2012 |
| Compact representation of dynamic driving environments for ADAS by parametric free space and dynamic object maps M Schreier, V Willert, J Adamy IEEE Transactions on Intelligent Transportation Systems 17 (2), 367-384, 2015 | 74 | 2015 |
| Proreta 3: An integrated approach to collision avoidance and vehicle automation E Bauer, F Lotz, M Pfromm, M Schreier, B Abendroth, S Cieler, A Eckert, ... at-Automatisierungstechnik Methoden und Anwendungen der Steuerungs …, 2012 | 70 | 2012 |
| Bayesian environment representation, prediction, and criticality assessment for driver assistance systems M Schreier Technische Universität Darmstadt, 2015 | 66 | 2015 |
| Robust free space detection in occupancy grid maps by methods of image analysis and dynamic B-spline contour tracking M Schreier, V Willert 2012 15th International IEEE Conference on Intelligent Transportation …, 2012 | 48 | 2012 |
| Grid mapping in dynamic road environments: Classification of dynamic cell hypothesis via tracking M Schreier, V Willert, J Adamy 2014 IEEE International Conference on Robotics and Automation (ICRA), 3995-4002, 2014 | 31 | 2014 |
| From grid maps to parametric free space maps—A highly compact, generic environment representation for ADAS M Schreier, V Willert, J Adamy 2013 IEEE Intelligent Vehicles Symposium (IV), 938-944, 2013 | 29 | 2013 |
| Environment representations for automated on-road vehicles M Schreier at-Automatisierungstechnik 66 (2), 107-118, 2018 | 17 | 2018 |
| PRORETA 3: Comprehensive driver assistance by safety corridor and cooperative automation H Winner, F Lotz, E Bauer, U Konigorski, M Schreier, J Adamy, M Pfromm, ... Handbook of Driver Assistance Systems. Basic Information, Components and …, 2016 | 15 | 2016 |
| Efficient graph-based v2v free space fusion S Luthardt, C Han, V Willert, M Schreier 2017 IEEE Intelligent Vehicles Symposium (IV), 985-992, 2017 | 12 | 2017 |
| Automated detection of construction sites on motorways P Kunz, M Schreier Intelligent Vehicles Symposium (IV), 2017 IEEE, 1378-1385, 2017 | 8 | 2017 |
| CUbE: A Research Platform for Shared Mobility and Autonomous Driving in Urban Environments A Hartmannsgruber, J Seitz, M Schreier, M Strauss, N Balbierer, A Hohm 2019 IEEE Intelligent Vehicles Symposium (IV), 2315-2322, 2019 | 7 | 2019 |
| Data fusion for automated driving: An introduction M Schreier at-Automatisierungstechnik 70 (3), 221-236, 2022 | 6 | 2022 |
| A high-level road model information fusion framework and its application to multi-lane speed limit inference M Schreier, R Grewe 2017 IEEE Intelligent Vehicles Symposium (IV), 1201-1208, 2017 | 5 | 2017 |
| Quaternion-based adaptive attitude control schemes for quadrotor systems M Schreier International Journal of Mechatronics and Automation 3 (4), 217-229, 2013 | 4 | 2013 |
| Deep RADAR Inverse Sensor Models for Dynamic Occupancy Grid Maps Z Wei, R Yan, M Schreier 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
