Claudius Gläser

Orcid: 0000-0002-9944-7405

According to our database1, Claudius Gläser authored at least 41 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving.
CoRR, 2024

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
Self-Supervised Occupancy Grid Map Completion for Automated Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Group Regression for Query Based Object Detection and Tracking.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features.
IEEE Trans. Intell. Transp. Syst., 2022

Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects?
CoRR, 2022

Understanding the Domain Gap in LiDAR Object Detection Networks.
CoRR, 2022

A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Transformers for Multi-Object Tracking on Point Clouds.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Transformers for Object Detection in Large Point Clouds.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Sensor Visibility Estimation: Metrics and Methods for Systematic Performance Evaluation and Improvement.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges.
IEEE Trans. Intell. Transp. Syst., 2021

Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Discovery of Perception Performance Limiting Triggering Conditions in Automated Driving.
Proceedings of the 5th International Conference on System Reliability and Safety, 2021

Dynamic Occupancy Grid Mapping with Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections.
CoRR, 2020

Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving.
CoRR, 2020

Deep Radar Sensor Models for Accurate and Robust Object Tracking.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving.
CoRR, 2019

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges.
CoRR, 2019

2018
Classifying Road Intersections using Transfer-Learning on a Deep Neural Network.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2016
The narrow road assistant - evolution towards highly automated driving in inner city.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2014
Environment perception for inner-city driver assistance and highly-automated driving.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

2013
The narrow road assistant - Next generation advanced driver assistance in inner-city.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

An inertial navigation system for inner-city ADAS.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012
Making sense of words through the eyes of a child: a computational framework for the acquisition of word meanings.
PhD thesis, 2012

2011
Firing Rate Homeostasis for Dynamic Neural Field Formation.
IEEE Trans. Auton. Ment. Dev., 2011

Discriminant Sub-Space Projection of Spectro-Temporal Speech Features Based on Maximizing Mutual Information.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

2010
Combining Auditory Preprocessing and Bayesian Estimation for Robust Formant Tracking.
IEEE Trans. Speech Audio Process., 2010

Applying geometric source separation for improved pitch extraction in human-robot interaction.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

An adaptive Normalized Gaussian Network and its application to online category learning.
Proceedings of the International Joint Conference on Neural Networks, 2010

A computational model for grounding words in the perception of agents.
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

Robust Formant Tracking in Echoic and Noisy Environments.
Proceedings of the 9. ITG-Fachtagung Sprachkommunikation 2010, 2010

2008
Listen to the parrot: Demonstrating the quality of online pitch and formant extraction via feature-based resynthesis.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Auditory-based formant estimation in noise using a probabilistic framework.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization.
Proceedings of the Artificial Neural Networks, 2008

2007
Joint Estimation of Formant Trajectories via Spectro-Temporal Smoothing and Bayesian Techniques.
Proceedings of the IEEE International Conference on Acoustics, 2007


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