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Claudius Gläser
Claudius Gläser
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
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
6302020
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
432010
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
332019
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
232014
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
222018
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
202008
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
192021
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
172020
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
152018
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
152018
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
152013
An inertial navigation system for inner-city ADAS
C Gläser, L Bürkle, F Niewels
16th International IEEE Conference on Intelligent Transportation Systems …, 2013
142013
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
122021
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
112007
Joint estimation of formant trajectories via bayesian techniques and adaptive segmentation
F Joublin, M Heckmann, C Glaeser
US Patent 7,881,926, 2011
102011
Method for evaluating the behavior of a driver in a vehicle
T Michalke, C Glaeser, L Buerkle
US Patent App. 15/036,733, 2016
92016
Firing rate homeostasis for dynamic neural field formation
C Glaser, F Joublin
IEEE Transactions on Autonomous Mental Development 3 (4), 285-299, 2011
92011
Homeostatic development of dynamic neural fields
C Glaser, F Joublin, C Goerick
2008 7th IEEE International Conference on Development and Learning, 121-126, 2008
92008
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