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 | 630 | 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 | 118* | 2018 |
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 |
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 | 33 | 2019 |
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 | 23 | 2014 |
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 | 22 | 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 |
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 | 19 | 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 | 17 | 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 | 15 | 2018 |
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 |
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 | 13* | |
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections M Ulrich, C Gläser, F Timm 2021 IEEE Radar Conference (RadarConf21), 1-6, 2021 | 12 | 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 |
Joint estimation of formant trajectories via bayesian techniques and adaptive segmentation F Joublin, M Heckmann, C Glaeser US Patent 7,881,926, 2011 | 10 | 2011 |
Method for evaluating the behavior of a driver in a vehicle T Michalke, C Glaeser, L Buerkle US Patent App. 15/036,733, 2016 | 9 | 2016 |
Firing rate homeostasis for dynamic neural field formation C Glaser, F Joublin IEEE Transactions on Autonomous Mental Development 3 (4), 285-299, 2011 | 9 | 2011 |
Homeostatic development of dynamic neural fields C Glaser, F Joublin, C Goerick 2008 7th IEEE International Conference on Development and Learning, 121-126, 2008 | 9 | 2008 |