| Sensorfusion using spatio-temporal aligned video and lidar for improved vehicle detection M Mahlisch, R Schweiger, W Ritter, K Dietmayer 2006 IEEE Intelligent Vehicles Symposium, 424-429, 2006 | 120 | 2006 |
| A multiple detector approach to low-resolution FIR pedestrian recognition M Mahlisch, M Oberlander, O Lohlein, D Gavrila, W Ritter IEEE Proceedings. Intelligent Vehicles Symposium, 2005., 325-330, 2005 | 79 | 2005 |
| Generic centralized multi sensor data fusion based on probabilistic sensor and environment models for driver assistance systems M Munz, M Mählisch, K Dietmayer IEEE Intelligent Transportation Systems Magazine 2 (1), 6-17, 2010 | 71 | 2010 |
| Dynamic level of detail 3d occupancy grids for automotive use MR Schmid, M Maehlisch, J Dickmann, HJ Wuensche 2010 IEEE Intelligent Vehicles Symposium, 269-274, 2010 | 54 | 2010 |
| Filtersynthese zur simultanen Minimierung von Existenz-, Assoziations-und Zustandsunsicherheiten in der Fahrzeugumfelderfassung mit heterogenen Sensordaten M Mählisch Universität Ulm, 2010 | 46 | 2010 |
| De-cluttering with integrated probabilistic data association for multisensor multitarget ACC vehicle tracking M Mählisch, W Ritter, K Dietmayer 2007 IEEE Intelligent Vehicles Symposium, 178-183, 2007 | 41 | 2007 |
| Reliable automotive pre-crash system with out-of-sequence measurement processing MM Muntzinger, M Aeberhard, S Zuther, M Maehlisch, M Schmid, ... 2010 IEEE Intelligent Vehicles Symposium, 1022-1027, 2010 | 38 | 2010 |
| A sensor independent probabilistic fusion system for driver assistance systems M Munz, KCJ Dietmayer, M Mahlisch 2009 12th International IEEE Conference on Intelligent Transportation …, 2009 | 35 | 2009 |
| Multisensor vehicle tracking with the probability hypothesis density filter M Maehlisch, R Schweiger, W Ritter, K Dietmayer 2006 9th international conference on information fusion, 1-8, 2006 | 34 | 2006 |
| Simultaneous processing of multitarget state measurements and object individual sensory existence evidence with the joint integrated probabilistic data association filter M Mählisch, M Szczot, O Löhlein, M Munz, K Dietmayer Proceedings of the 5th International Workshop on Intelligent Transportation, 2008 | 32 | 2008 |
| Heterogeneous fusion of Video, LIDAR and ESP data for automotive ACC vehicle tracking M Mahlisch, R Hering, W Ritter, K Dietmayer 2006 IEEE International Conference on Multisensor Fusion and Integration for …, 2006 | 25 | 2006 |
| Towards a unified architecture for mapping static environments T Kubertschak, M Maehlisch, HJ Wuensche 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 18 | 2014 |
| Generalized fusion of heterogeneous sensor measurements for multi target tracking M Munz, K Dietmayer, M Mählisch 2010 13th International Conference on Information Fusion, 1-8, 2010 | 17 | 2010 |
| Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems M Munz, M Mählisch, J Dickmann, K Dietmayer 2010 IEEE Intelligent Vehicles Symposium, 760-765, 2010 | 15 | 2010 |
| A probabilistic sensor-independent fusion framework for automotive driver assistance systems M Munz, M Mählisch, K Dietmayer Proceedings of the 6th International Workshop on Intelligent Transportation …, 2009 | 12 | 2009 |
| Feature level video and lidar sensorfusion for full speed ACC M Maehlisch, W Ritter, K Dietmayer Submitted to 4th International Workshop on Intelligent Transportation …, 2007 | 12 | 2007 |
| Environmental perception for future integrated safety systems J Dickmann, F Diewald, M Mählisch, J Klappstein, S Zuther, S Pietzsch, ... Proc. 21st Int. Tec. Conf. Enhanced Safety of Vehicles, 2009 | 10 | 2009 |
| ACC vehicle tracking with joint multisensor multitarget filtering of state and existence M Maehlisch, W Ritter, K Dietmayer PReVENT Fusion Forum e-Journal 1, 37-43, 2006 | 9 | 2006 |
| Feature map transformation for multi-sensor fusion in object detection networks for autonomous driving E Schröder, S Braun, M Mählisch, J Vitay, F Hamker Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020 | 8 | 2020 |
| Iterative deep fusion for 3D semantic segmentation F Duerr, H Weigel, M Maehlisch, J Beyerer 2020 Fourth IEEE International Conference on Robotic Computing (IRC), 391-397, 2020 | 6 | 2020 |
