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Claudius Gläser
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2020 – today
- 2024
- [c29]Michael Kösel, Marcel Schreiber, Michael Ulrich, Claudius Gläser, Klaus Dietmayer:
Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection. IV 2024: 2806-2813 - [i20]Michael Kösel, Marcel Schreiber, Michael Ulrich, Claudius Gläser, Klaus Dietmayer:
Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection. CoRR abs/2404.15879 (2024) - [i19]Karim Armanious, Maurice Quach, Michael Ulrich, Timo Winterling, Johannes Friesen, Sascha Braun, Daniel Jenet, Yuri Feldman, Eitan Kosman, Philipp Rapp, Volker Fischer, Marc Sons, Lukas Kohns, Daniel Eckstein, Daniela Egbert, Simone Letsch, Corinna Voege, Felix Huttner, Alexander Bartler, Robert Maiwald, Yancong Lin, Ulf Rüegg, Claudius Gläser, Bastian Bischoff, Jascha Freess, Karsten Haug, Kathrin Klee, Holger Caesar:
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving. CoRR abs/2407.12803 (2024) - 2023
- [c28]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Group Regression for Query Based Object Detection and Tracking. ITSC 2023: 2677-2684 - [c27]Jugoslav Stojcheski, Thomas Nürnberg, Michael Ulrich, Thomas Michalke, Claudius Gläser, Andreas Geiger:
Self-Supervised Occupancy Grid Map Completion for Automated Driving. IV 2023: 1-7 - [i18]Ahmad Adee, Roman Gansch, Peter Liggesmeyer, Claudius Gläser, Florian Drews:
Discovery of Perception Performance Limiting Triggering Conditions in Automated Driving. CoRR abs/2303.04037 (2023) - [i17]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Group Regression for Query Based Object Detection and Tracking. CoRR abs/2308.14481 (2023) - 2022
- [j4]Michael Herman
, Jörg Wagner
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. IEEE Trans. Intell. Transp. Syst. 23(9): 14922-14937 (2022) - [c26]Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser:
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars. IROS 2022: 560-567 - [c25]Michael Ulrich, Sascha Braun, Daniel Köhler, Daniel Niederlöhner, Florian Faion, Claudius Gläser, Holger Blume:
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar. ITSC 2022: 111-117 - [c24]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Transformers for Object Detection in Large Point Clouds. ITSC 2022: 832-838 - [c23]Joachim Börger, Marc Patrick H. Zapf, Marat Kopytjuk, Xinrun Li
Sensor Visibility Estimation: Metrics and Methods for Systematic Performance Evaluation and Improvement. ITSC 2022: 1149-1154 - [c22]Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer:
A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping. IV 2022: 315-322 - [c21]Daniel Niederlöhner, Michael Ulrich, Sascha Braun, Daniel Köhler, Florian Faion, Claudius Gläser, André Treptow, Holger Blume:
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks. IV 2022: 352-359 - [c20]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Transformers for Multi-Object Tracking on Point Clouds. IV 2022: 852-859 - [i16]Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer:
A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping. CoRR abs/2202.04461 (2022) - [i15]Jasmine Richter, Florian Faion, Di Feng, Paul Benedikt Becker, Piotr Sielecki, Claudius Gläser:
Understanding the Domain Gap in LiDAR Object Detection Networks. CoRR abs/2204.10024 (2022) - [i14]Michael Ulrich, Sascha Braun, Daniel Köhler, Daniel Niederlöhner, Florian Faion, Claudius Gläser, Holger Blume:
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar. CoRR abs/2205.02111 (2022) - [i13]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Transformers for Multi-Object Tracking on Point Clouds. CoRR abs/2205.15730 (2022) - [i12]Daniel Niederlöhner, Michael Ulrich, Sascha Braun, Daniel Köhler, Florian Faion, Claudius Gläser, André Treptow, Holger Blume:
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks. CoRR abs/2207.03146 (2022) - [i11]Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser:
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars. CoRR abs/2209.12729 (2022) - [i10]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Transformers for Object Detection in Large Point Clouds. CoRR abs/2209.15258 (2022) - [i9]Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer:
Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects? CoRR abs/2210.14391 (2022) - [i8]Joachim Börger, Marc Patrick H. Zapf, Marat Kopytjuk, Xinrun Li, Claudius Gläser:
Sensor Visibility Estimation: Metrics and Methods for Systematic Performance Evaluation and Improvement. CoRR abs/2211.06308 (2022) - 2021
- [j3]Di Feng
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. IEEE Trans. Intell. Transp. Syst. 22(3): 1341-1360 (2021) - [c19]Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer:
Dynamic Occupancy Grid Mapping with Recurrent Neural Networks. ICRA 2021: 6717-6724 - [c18]Ahmad Adee, Roman Gansch, Peter Liggesmeyer, Claudius Gläser, Florian Drews:
Discovery of Perception Performance Limiting Triggering Conditions in Automated Driving. ICSRS 2021: 248-257 - [c17]Thomas Michalke, Colin Wüst, Di Feng, Maxim Dolgov, Claudius Gläser, Fabian Timm:
Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving. ITSC 2021: 1565-1571 - 2020
- [c16]Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer:
Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks. ICRA 2020: 8587-8593 - [c15]Jasmin Ebert, Thomas Gumpp, Sebastian Münzner, Alex Matskevych, Alexandru Paul Condurache, Claudius Gläser:
Deep Radar Sensor Models for Accurate and Robust Object Tracking. ITSC 2020: 1-6 - [i7]Thomas Michalke, Colin Wüst, Di Feng, Claudius Gläser, Maxim Dolgov, Fabian Timm:
Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving. CoRR abs/2004.07639 (2020) - [i6]Michael Ulrich, Claudius Gläser, Fabian Timm:
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections. CoRR abs/2010.09273 (2020) - [i5]Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer:
Dynamic Occupancy Grid Mapping with Recurrent Neural Networks. CoRR abs/2011.08659 (2020) - [i4]Michael Herman, Jörg Wagner, Vishnu Suganth Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser:
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. CoRR abs/2012.08418 (2020)
2010 – 2019
- 2019
- [i3]Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Fabian Duffhauss, Claudius Gläser, Werner Wiesbeck, Klaus Dietmayer:
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. CoRR abs/1902.07830 (2019) - [i2]Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer:
Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks. CoRR abs/1909.11387 (2019) - [i1]Di Feng, Lars Rosenbaum, Claudius Gläser, Fabian Timm, Klaus Dietmayer:
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving. CoRR abs/1909.12358 (2019) - 2018
- [c14]Ulrich Baumann, Yuan-Yao Huang, Claudius Gläser, Michael Herman, Holger Banzhaf, J. Marius Zöllner:
Classifying Road Intersections using Transfer-Learning on a Deep Neural Network. ITSC 2018: 683-690 - 2016
- [c13]Thomas Paul Michalke, Claudius Gläser, Lutz Bürkle, Frank Niewels:
The narrow road assistant - evolution towards highly automated driving in inner city. Intelligent Vehicles Symposium 2016: 1192-1198 - 2014
- [c12]Claudius Gläser, Thomas Paul Michalke, Lutz Bürkle, Frank Niewels:
Environment perception for inner-city driver assistance and highly-automated driving. Intelligent Vehicles Symposium 2014: 1270-1275 - 2013
- [c11]Claudius Gläser, Lutz Bürkle, Frank Niewels:
An inertial navigation system for inner-city ADAS. ITSC 2013: 1503-1508 - [c10]Thomas Paul Michalke, Claudius Gläser, Lutz Bürkle, Frank Niewels:
The narrow road assistant - Next generation advanced driver assistance in inner-city. ITSC 2013: 2173-2180 - 2012
- [b1]Claudius Gläser:
Making sense of words through the eyes of a child: a computational framework for the acquisition of word meanings. Bielefeld University, Monsenstein und Vannerdat 2012, ISBN 978-3-86991-640-8, pp. 1-169 - 2011
- [j2]Claudius Gläser, Frank Joublin:
Firing Rate Homeostasis for Dynamic Neural Field Formation. IEEE Trans. Auton. Ment. Dev. 3(4): 285-299 (2011) - [c9]Martin Heckmann, Claudius Gläser:
Discriminant Sub-Space Projection of Spectro-Temporal Speech Features Based on Maximizing Mutual Information. INTERSPEECH 2011: 225-228 - 2010
- [j1]Claudius Gläser, Martin Heckmann
Combining Auditory Preprocessing and Bayesian Estimation for Robust Formant Tracking. IEEE Trans. Speech Audio Process. 18(2): 224-236 (2010) - [c8]Claudius Gläser, Martin Heckmann, Frank Joublin, Christian Goerick:
Robust Formant Tracking in Echoic and Noisy Environments. Sprachkommunikation 2010: 1-4 - [c7]Claudius Gläser, Frank Joublin:
A computational model for grounding words in the perception of agents. ICDL 2010: 26-32 - [c6]Claudius Gläser, Frank Joublin:
An adaptive Normalized Gaussian Network and its application to online category learning. IJCNN 2010: 1-8 - [c5]Martin Heckmann, Claudius Gläser, Frank Joublin, Kazuhiro Nakadai:
Applying geometric source separation for improved pitch extraction in human-robot interaction. INTERSPEECH 2010: 2602-2605
2000 – 2009
- 2008
- [c4]Claudius Gläser, Frank Joublin, Christian Goerick:
Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization. ICANN (1) 2008: 593-602 - [c3]Claudius Gläser, Martin Heckmann, Frank Joublin, Christian Goerick:
Auditory-based formant estimation in noise using a probabilistic framework. INTERSPEECH 2008: 2606-2609 - [c2]Martin Heckmann
Listen to the parrot: Demonstrating the quality of online pitch and formant extraction via feature-based resynthesis. IROS 2008: 1699-1704 - 2007
- [c1]Claudius Gläser, Martin Heckmann
Joint Estimation of Formant Trajectories via Spectro-Temporal Smoothing and Bayesian Techniques. ICASSP (4) 2007: 477-480
Coauthor Index
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last updated on 2024-10-07 21:10 CEST by the dblp team
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