| Method and apparatus for segmenting an occupancy grid for a surroundings model of a driver assistance system for a vehicle background of the invention LB Thomas MICHALKE, Claudius Glaeser US Patent App. 10/089,419, 2018 | 119* | 2018 |
| System and method for object motion detection based on multiple 3D warping and vehicle equipped with such system J Fritsch, T Michalke, R Kastner US Patent 8,233,660, 2012 | 98 | 2012 |
| Cooperative automated driving use cases for 5G V2X communication I Llatser, T Michalke, M Dolgov, F Wildschütte, H Fuchs 2019 IEEE 2nd 5G World Forum (5GWF), 120-125, 2019 | 86 | 2019 |
| Object motion detection system based on combining 3D warping techniques and a proper object motion detection T Michalke, R Kastner US Patent 8,564,657, 2013 | 83 | 2013 |
| Kraftfahrtechnisches Taschenbuch K Reif, KH Dietsche Springer-Verlag, 2010 | 55 | 2010 |
| Towards a human-like vision system for driver assistance J Fritsch, T Michalke, A Gepperth, S Bone, F Waibel, M Kleinehagenbrock, ... 2008 IEEE intelligent vehicles symposium, 275-282, 2008 | 43 | 2008 |
| Attention-based traffic sign recognition with an array of weak classifiers R Kastner, T Michalke, T Burbach, J Fritsch, C Goerick 2010 IEEE Intelligent Vehicles Symposium, 333-339, 2010 | 42 | 2010 |
| Design and behavioral modeling tools for optical network-on-chip M Briere, L Carrel, T Michalke, F Mieyeville, I O'Connor, F Gaffiot Proceedings Design, Automation and Test in Europe Conference and Exhibition …, 2004 | 34 | 2004 |
| Adaptive multi-cue fusion for robust detection of unmarked inner-city streets T Michalke, R Kastner, M Herbert, J Fritsch, C Goerick 2009 IEEE Intelligent Vehicles Symposium, 1-8, 2009 | 27 | 2009 |
| Environment perception for inner-city driver assistance and highly-automated driving C Gläser, TP Michalke, L Bürkle, F Niewels 2014 IEEE Intelligent Vehicles Symposium Proceedings, 1270-1275, 2014 | 25 | 2014 |
| Task-based environment interpretation and system architecture for next generation ADAS R Kastner, T Michalke, J Adamy, J Fritsch, C Goerick IEEE Intelligent Transportation Systems Magazine 3 (4), 20-33, 2011 | 24 | 2011 |
| Enhancing robustness of a saliency-based attention system for driver assistance T Michalke, J Fritsch, C Goerick Computer Vision Systems: 6th International Conference, ICVS 2008 Santorini …, 2008 | 24 | 2008 |
| Towards a human-like vision system for resource-constrained intelligent cars T Michalke, A Gepperth, M Schneider, J Fritsch, C Goerick International Conference on Computer Vision Systems: Proceedings, 2007 | 24 | 2007 |
| Image-based classification of driving scenes by hierarchical principal component classification (hpcc) R Kastner, F Schneider, T Michalke, J Fritsch, C Goerick 2009 IEEE Intelligent Vehicles Symposium, 341-346, 2009 | 20 | 2009 |
| Method for providing and improving a positional probability distribution for GNSS received data M Dolgov, T Michalke, F Wildschuette, H Fuchs, IL Marti US Patent 11,366,194, 2022 | 19 | 2022 |
| Towards a closer fusion of active and passive safety: Optical flow-based detection of vehicle side collisions TP Michalke, F Stein, U Franke 2011 IEEE Intelligent Vehicles Symposium (IV), 181-188, 2011 | 19 | 2011 |
| Method and apparatus for segmenting an occupancy grid for a surroundings model of a driver assistance system for a vehicle background of the invention T Michalke, C Glaeser, L Buerkle US Patent 10,089,419, 2018 | 15 | 2018 |
| The narrow road assistant-next generation advanced driver assistance in inner-city TP Michalke, C Gläser, L Bürkle, F Niewels 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 15 | 2013 |
| A generic temporal integration approach for enhancing feature-based road-detection systems T Michalke, R Kastner, J Fritsch, C Goerick 2008 11th International IEEE Conference on Intelligent Transportation …, 2008 | 15 | 2008 |
| Object Detection Probability for Highly Automated Vehicles: An Analytical Sensor Model. FA Schiegg, I Llatser, T Michalke VEHITS, 223-231, 2019 | 14 | 2019 |
Jannik FritschNVIDIA Autonomous Vehicles Software在 nvidia.com 的电子邮件经过验证
