| Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges D Feng, C Haase-Schütz, L Rosenbaum, H Hertlein, C Glaeser, F Timm, ... IEEE Transactions on Intelligent Transportation Systems, 2020 | 959 | 2020 |
| 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 App. 10/089,419, 2018 | 119* | 2018 |
| Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving D Feng, L Rosenbaum, C Glaeser, F Timm, K Dietmayer arXiv preprint arXiv:1909.12358, 2019 | 44 | 2019 |
| Combining auditory preprocessing and bayesian estimation for robust formant tracking C Glaser, M Heckmann, F Joublin, C Goerick IEEE transactions on audio, speech, and language processing 18 (2), 224-236, 2010 | 43 | 2010 |
| Dynamic Occupancy Grid Mapping with Recurrent Neural Networks M Schreiber, V Belagiannis, C Gläser, K Dietmayer 2021 IEEE International Conference on Robotics and Automation (ICRA), 6717-6724, 2021 | 30 | 2021 |
| Improved orientation estimation and detection with hybrid object detection networks for automotive radar M Ulrich, S Braun, D Köhler, D Niederlöhner, F Faion, C Gläser, H Blume 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 25 | 2022 |
| Predicting ego-vehicle paths from environmental observations with a deep neural network U Baumann, C Guiser, M Herman, JM Zollner 2018 IEEE International Conference on Robotics and Automation (ICRA), 4709-4716, 2018 | 25 | 2018 |
| 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 | 24 | 2014 |
| DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections M Ulrich, C Gläser, F Timm 2021 IEEE Radar Conference (RadarConf21), 1-6, 2021 | 22 | 2021 |
| Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks M Schreiber, V Belagiannis, C Gläser, K Dietmayer 2020 IEEE International Conference on Robotics and Automation (ICRA), 8587-8593, 2020 | 20 | 2020 |
| Classifying Road Intersections using Transfer-Learning on a Deep Neural Network U Baumann, YY Huang, C Gläser, M Herman, H Banzhaf, JM Zöllner 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 20 | 2018 |
| Listen to the parrot: Demonstrating the quality of online pitch and formant extraction via feature-based resynthesis M Heckmann, C Glaser, M Vaz, T Rodemann, F Joublin, C Goerick 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 20 | 2008 |
| DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars F Drews, D Feng, F Faion, L Rosenbaum, M Ulrich, C Gläser 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 19 | 2022 |
| Deep multi-modal object detection and semantic segmentation for autonomous driving: datasets, methods, and challenges. arXiv 2019 D Feng, C Haase-Schuetz, L Rosenbaum, H Hertlein, F Duffhaus, ... arXiv preprint arXiv:1902.07830, 0 | 18* | |
| 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 |
| An inertial navigation system for inner-city ADAS C Gläser, L Bürkle, F Niewels 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 14 | 2013 |
| Transformers for multi-object tracking on point clouds F Ruppel, F Faion, C Gläser, K Dietmayer 2022 IEEE Intelligent Vehicles Symposium (IV), 852-859, 2022 | 13 | 2022 |
| Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features M Herman, J Wagner, V Prabhakaran, N Möser, H Ziesche, W Ahmed, ... IEEE Transactions on Intelligent Transportation Systems, 2021 | 13 | 2021 |
| Joint estimation of formant trajectories via spectro-temporal smoothing and bayesian techniques C Glaser, M Heckmann, F Joublin, C Goerick, HM Groß 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 11 | 2007 |
