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Claudius Gläser
Claudius Gläser
Bestätigte E-Mail-Adresse bei de.bosch.com
Titel
Zitiert von
Zitiert von
Jahr
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
10272020
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
452019
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
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
332021
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
282022
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
M Ulrich, C Gläser, F Timm
2021 IEEE Radar Conference (RadarConf21), 1-6, 2021
272021
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
262018
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
242014
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
212022
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
212018
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
202020
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
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
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
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
132022
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
132021
A multi-task recurrent neural network for end-to-end dynamic occupancy grid mapping
M Schreiber, V Belagiannis, C Gläser, K Dietmayer
2022 IEEE Intelligent Vehicles Symposium (IV), 315-322, 2022
122022
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