Joint Estimation of Formant Trajectories via Spectro-Temporal Smoothing and Bayesian Techniques. - Claudius Gläser; Martin Heckmann; Frank Joublin; Christian Goerick; Horst-Michael Groß (ICASSP (4), 2007)

Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization. - Claudius Gläser; Frank Joublin; Christian Goerick (ICANN (1), 2008)

Auditory-based formant estimation in noise using a probabilistic framework. - Claudius Gläser; Martin Heckmann; Frank Joublin; Christian Goerick (INTERSPEECH, 2008)

Listen to the parrot: Demonstrating the quality of online pitch and formant extraction via feature-based resynthesis. - Martin Heckmann; Claudius Gläser; Miguel Vaz; Tobias Rodemann; Frank Joublin; Christian Goerick (IROS, 2008)

Robust Formant Tracking in Echoic and Noisy Environments. - Claudius Gläser; Martin Heckmann; Frank Joublin; Christian Goerick (Sprachkommunikation, 2010)

A computational model for grounding words in the perception of agents. - Claudius Gläser; Frank Joublin (ICDL, 2010)

An adaptive Normalized Gaussian Network and its application to online category learning. - Claudius Gläser; Frank Joublin (IJCNN, 2010)

Applying geometric source separation for improved pitch extraction in human-robot interaction. - Martin Heckmann; Claudius Gläser; Frank Joublin; Kazuhiro Nakadai (INTERSPEECH, 2010)

Combining Auditory Preprocessing and Bayesian Estimation for Robust Formant Tracking. - Claudius Gläser; Martin Heckmann; Frank Joublin; Christian Goerick (IEEE Trans. Speech Audio Process., 2010)

Discriminant Sub-Space Projection of Spectro-Temporal Speech Features Based on Maximizing Mutual Information. - Martin Heckmann; Claudius Gläser (INTERSPEECH, 2011)

Firing Rate Homeostasis for Dynamic Neural Field Formation. - Claudius Gläser; Frank Joublin (IEEE Trans. Auton. Ment. Dev., 2011)

Making sense of words through the eyes of a child: a computational framework for the acquisition of word meanings. - Claudius Gläser (Monsenstein und Vannerdat, 2012)

An inertial navigation system for inner-city ADAS. - Claudius Gläser; Lutz Bürkle; Frank Niewels (ITSC, 2013)

The narrow road assistant - Next generation advanced driver assistance in inner-city. - Thomas Paul Michalke; Claudius Gläser; Lutz Bürkle; Frank Niewels (ITSC, 2013)

Environment perception for inner-city driver assistance and highly-automated driving. - Claudius Gläser; Thomas Paul Michalke; Lutz Bürkle; Frank Niewels (Intelligent Vehicles Symposium, 2014)

The narrow road assistant - evolution towards highly automated driving in inner city. - Thomas Paul Michalke; Claudius Gläser; Lutz Bürkle; Frank Niewels (Intelligent Vehicles Symposium, 2016)

Classifying Road Intersections using Transfer-Learning on a Deep Neural Network. - Ulrich Baumann; Yuan-Yao Huang; Claudius Gläser; Michael Herman; Holger Banzhaf; J. Marius Zöllner (ITSC, 2018)

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. - Di Feng; Christian Haase-Schütz; Lars Rosenbaum; Heinz Hertlein; Fabian Duffhauss; Claudius Gläser; Werner Wiesbeck; Klaus Dietmayer (CoRR, 2019)

Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving. - Di Feng; Lars Rosenbaum; Claudius Gläser; Fabian Timm; Klaus Dietmayer (CoRR, 2019)

Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks. - Marcel Schreiber; Vasileios Belagiannis; Claudius Gläser; Klaus Dietmayer (ICRA, 2020)

Deep Radar Sensor Models for Accurate and Robust Object Tracking. - Jasmin Ebert; Thomas Gumpp; Sebastian Münzner; Alex Matskevych; Alexandru Paul Condurache; Claudius Gläser (ITSC, 2020)

Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving. - Thomas Michalke; Colin Wüst; Di Feng; Claudius Gläser; Maxim Dolgov; Fabian Timm (CoRR, 2020)

DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections. - Michael Ulrich; Claudius Gläser; Fabian Timm (CoRR, 2020)

Dynamic Occupancy Grid Mapping with Recurrent Neural Networks. - Marcel Schreiber; Vasileios Belagiannis; Claudius Gläser; Klaus Dietmayer (ICRA, 2021)

Discovery of Perception Performance Limiting Triggering Conditions in Automated Driving. - Ahmad Adee; Roman Gansch; Peter Liggesmeyer; Claudius Gläser; Florian Drews (ICSRS, 2021)

Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving. - Thomas Michalke; Colin Wüst; Di Feng; Maxim Dolgov; Claudius Gläser; Fabian Timm (ITSC, 2021)

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. - Di Feng; Christian Haase-Schütz; Lars Rosenbaum; Heinz Hertlein; Claudius Gläser; Fabian Timm; Werner Wiesbeck; Klaus Dietmayer (IEEE Trans. Intell. Transp. Syst., 2021)

DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars. - Florian Drews; Di Feng; Florian Faion; Lars Rosenbaum; Michael Ulrich; Claudius Gläser (IROS, 2022)

Sensor Visibility Estimation: Metrics and Methods for Systematic Performance Evaluation and Improvement. - Joachim Börger; Marc Patrick H. Zapf; Marat Kopytjuk; Xinrun Li; Claudius Gläser (ITSC, 2022)

Transformers for Object Detection in Large Point Clouds. - Felicia Ruppel; Florian Faion; Claudius Gläser; Klaus Dietmayer (ITSC, 2022)

Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar. - Michael Ulrich; Sascha Braun; Daniel Köhler; Daniel Niederlöhner; Florian Faion; Claudius Gläser; Holger Blume (ITSC, 2022)

Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks. - Daniel Niederlöhner; Michael Ulrich; Sascha Braun; Daniel Köhler; Florian Faion; Claudius Gläser; André Treptow; Holger Blume (IV, 2022)

Transformers for Multi-Object Tracking on Point Clouds. - Felicia Ruppel; Florian Faion; Claudius Gläser; Klaus Dietmayer (IV, 2022)

A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping. - Marcel Schreiber; Vasileios Belagiannis; Claudius Gläser; Klaus Dietmayer (IV, 2022)

Understanding the Domain Gap in LiDAR Object Detection Networks. - Jasmine Richter; Florian Faion; Di Feng; Paul Benedikt Becker; Piotr Sielecki; Claudius Gläser (CoRR, 2022)

Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects? - Felicia Ruppel; Florian Faion; Claudius Gläser; Klaus Dietmayer (CoRR, 2022)

Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. - Michael Herman; Jörg Wagner; Vishnu Suganth Prabhakaran; Nicolas Möser; Hanna Ziesche; Waleed Ahmed; Lutz Bürkle; Ernst Kloppenburg; Claudius Gläser (IEEE Trans. Intell. Transp. Syst., 2022)

Group Regression for Query Based Object Detection and Tracking. - Felicia Ruppel; Florian Faion; Claudius Gläser; Klaus Dietmayer (ITSC, 2023)

Self-Supervised Occupancy Grid Map Completion for Automated Driving. - Jugoslav Stojcheski; Thomas Nürnberg; Michael Ulrich; Thomas Michalke; Claudius Gläser; Andreas Geiger 001 (IV, 2023)

Improving object detection for truck-related classes by removing label inconsistencies. - Elizabeth de Benedictis; Florian Drews; Florian Faion; Claudius Gläser (SDF-MFI, 2023)

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection. - Michael Kösel; Marcel Schreiber; Michael Ulrich; Claudius Gläser; Klaus Dietmayer (IV, 2024)

Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving. - Karim Armanious; Maurice Quach; Michael Ulrich; Timo Winterling; Johannes Friesen; Sascha Braun; Daniel Jenet; Yuri Feldman; Eitan Kosman; Philipp Rapp; Volker Fischer 003; Marc Sons; et al. (CoRR, 2024)

Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds. - Mohamed Abdelsamad; Michael Ulrich; Claudius Gläser; Abhinav Valada (CVPR, 2025)

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning. - Rohit Mohan; Julia Hindel; Florian Drews; Claudius Gläser; Daniele Cattaneo 001; Abhinav Valada (CoRR, 2025)