A Concept for Requirements-Driven Identification and Mitigation of Dataset Gaps for Perception Tasks in Automated Driving - Mohamed Sabry Moustafa; Maarten Bieshaar; Andreas Albrecht; Bernhard Sick (Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2025, Porto, Portugal, February 23-25, 2025, 2025)

A Safety-Adapted Loss for Pedestrian Detection in Autonomous Driving - Maria Lyssenko; Piyush Pimplikar; Maarten Bieshaar; Farzad Nozarian; Rudolph Triebel (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

A Safety-Adapted Loss for Pedestrian Detection in Automated Driving - Maria Lyssenko; Piyush Pimplikar; Maarten Bieshaar; Farzad Nozarian; Rudolph Triebel (CoRR, 2024)

Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation - Florian Heidecker; Ahmad El-Khateeb; Maarten Bieshaar; Bernhard Sick (CoRR, 2024)

What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving - Jasmin Breitenstein; Florian Heidecker; Maria Lyssenko; Daniel Bogdoll; Maarten Bieshaar; J. Marius Zöllner; Bernhard Sick; Tim Fingscheidt (IEEE/CVF International Conference on Computer Vision, ICCV 2023 - Workshops, Paris, France, October 2-6, 2023, 2023)

NDNET: A Unified Framework for Anomaly and Novelty Detection - Jens Decke; Jörn Schmeißing; Diego Botache; Maarten Bieshaar; Bernhard Sick; Christian Gruhl (Architecture of Computing Systems - 35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022, Proceedings, 2022)

Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches - Tobias Westmeier; Diego Botache; Maarten Bieshaar; Bernhard Sick (9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022, 2022)

A Practical Evaluation of Active Learning Approaches for Object Detection - Jan Schneegans; Maarten Bieshaar; Bernhard Sick (Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022), Grenoble, France, September 23, 2022, 2022)

Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving - Kevin Rösch; Florian Heidecker; Julian Truetsch; Kamil Kowol; Clemens Schicktanz; Maarten Bieshaar; Bernhard Sick; Christoph Stiller (IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022, 2022)

Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving - Kevin Rösch; Florian Heidecker; Julian Truetsch; Kamil Kowol; Clemens Schicktanz; Maarten Bieshaar; Bernhard Sick; Christoph Stiller (CoRR, 2022)

Cooperative intention detection using machine learning: advanced cyclist protection in the context of automated driving - Maarten Bieshaar (University of Kassel, Germany, 2021)

Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands - Diego Botache; Florian Bethke; Martin Hardieck; Maarten Bieshaar; Ludwig Brabetz; Mohamed Ayeb; Peter Zipf; Bernhard Sick (IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2021, Washington, DC, USA, September 27 - Oct. 1, 2021, 2021)

Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders - Felix Möller; Diego Botache; Denis Huseljic; Florian Heidecker; Maarten Bieshaar; Bernhard Sick (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021, 2021)

Description of Corner Cases in Automated Driving: Goals and Challenges - Daniel Bogdoll; Jasmin Breitenstein; Florian Heidecker; Maarten Bieshaar; Bernhard Sick; Tim Fingscheidt; J. Marius Zöllner (IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, QC, Canada, October 11-17, 2021, 2021)

Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists - Jan Schneegans; Jan Eilbrecht; Stefan Zernetsch; Maarten Bieshaar; Konrad Doll; Olaf Stursberg; Bernhard Sick (IEEE Intelligent Vehicles Symposium Workshops, IV 2021 - Workshops, Nagoya, Japan, July 11-17, 2021, 2021)

An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving - Florian Heidecker; Jasmin Breitenstein; Kevin Rösch; Jonas Löhdefink; Maarten Bieshaar; Christoph Stiller; Tim Fingscheidt; Bernhard Sick (IEEE Intelligent Vehicles Symposium, IV 2021, Nagoya, Japan, July 11-17, 2021, 2021)

A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving - Maarten Bieshaar; Marek Herde; Denis Huseljic; Bernhard Sick (Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Spain, September 13, 2021, 2021)

Cyclist Motion State Forecasting - Going beyond Detection - Maarten Bieshaar; Stefan Zernetsch; Katharina Riepe; Konrad Doll; Bernhard Sick (IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021, 2021)

Pedestrians and Cyclists in Road Traffic: Trajectories, 3D Poses and Semantic Maps (Version 1.0) - Viktor Kress; Stefan Zernetsch; Maarten Bieshaar; Günther Reitberger; Erich Fuchs; Konrad Doll; Bernhard Sick (Zenodo, 2021)
Accessed on YYYY-MM-DD.

Aschaffenburg Pose Dataset (Version 1.0) - Viktor Kress; Stefan Zernetsch; Hannes Reichert; Manuel Hetzel; Maarten Bieshaar; Günther Reitberger; Erich Fuchs; Konrad Doll; Bernhard Sick (Zenodo, 2021)
Accessed on YYYY-MM-DD.

An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving - Florian Heidecker; Jasmin Breitenstein; Kevin Rösch; Jonas Löhdefink; Maarten Bieshaar; Christoph Stiller; Tim Fingscheidt; Bernhard Sick (CoRR, 2021)

Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders - Felix Möller; Diego Botache; Denis Huseljic; Florian Heidecker; Maarten Bieshaar; Bernhard Sick (CoRR, 2021)

Description of Corner Cases in Automated Driving: Goals and Challenges - Daniel Bogdoll; Jasmin Breitenstein; Florian Heidecker; Maarten Bieshaar; Bernhard Sick; Tim Fingscheidt; J. Marius Zöllner (CoRR, 2021)

Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks - Florian Heidecker; Abdul Hannan; Maarten Bieshaar; Bernhard Sick (Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part IV, 2020)

Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks - Jan Schneegans; Maarten Bieshaar; Florian Heidecker; Bernhard Sick (Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part IV, 2020)

Kooperative Absichtserkennung mittels maschineller Lernverfahren - Maarten Bieshaar (Ausgezeichnete Informatikdissertationen 2020, 2020)

Multi-Sensor Data and Knowledge Fusion - A Proposal for a Terminology Definition - Silvia Beddar-Wiesing; Maarten Bieshaar (CoRR, 2020)

Knowledge Representations in Technical Systems - A Taxonomy - Kristina Scharei; Florian Heidecker; Maarten Bieshaar (CoRR, 2020)

Extended Coopetitive Soft Gating Ensemble - Stephan Deist; Jens Schreiber; Maarten Bieshaar; Bernhard Sick (CoRR, 2020)

Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets - Maarten Bieshaar; Jens Schreiber; Stephan Vogt; André Gensler; Bernhard Sick (CoRR, 2020)

Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition - Diego Botache; Dandan Liu; Maarten Bieshaar; Bernhard Sick (49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019 - Workshops, Kassel, Germany, September 23-26, 2019, 2019)

Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble - Maarten Bieshaar; Stefan Zernetsch; Andreas Hubert; Bernhard Sick; Konrad Doll (IEEE Trans. Intell. Veh., 2018)

Starting Movement Detection of Cyclists Using Smart Devices - Maarten Bieshaar; Malte Depping; Jan Schneegans; Bernhard Sick (5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018, 2018)

Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques - Marek Herde; Daniel Kottke; Adrian Calma; Maarten Bieshaar; Stephan Deist; Bernhard Sick (2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, 2018)

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure - Günther Reitberger; Maarten Bieshaar; Stefan Zernetsch; Konrad Doll; Bernhard Sick; Erich Fuchs (21st International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, November 4-7, 2018, 2018)

Coopetitive Soft Gating Ensemble - Jens Schreiber; Maarten Bieshaar; Andre Gensler; Bernhard Sick; Stephan Deist (2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), Trento, Italy, September 3-7, 2018, 2018)

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure - Günther Reitberger; Stefan Zernetsch; Maarten Bieshaar; Bernhard Sick; Konrad Doll; Erich Fuchs (CoRR, 2018)

Where is my Device? - Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users - Maarten Bieshaar (CoRR, 2018)

Highly Automated Learning for Improved Active Safety of Vulnerable Road Users - Maarten Bieshaar; Günther Reitberger; Viktor Kreß; Stefan Zernetsch; Konrad Doll; Erich Fuchs; Bernhard Sick (CoRR, 2018)

Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble - Maarten Bieshaar; Stefan Zernetsch; Andreas Hubert; Bernhard Sick; Konrad Doll (CoRR, 2018)

Coopetitive Soft Gating Ensemble - Stephan Deist; Maarten Bieshaar; Jens Schreiber; Andre Gensler; Bernhard Sick (CoRR, 2018)

Starting Movement Detection of Cyclists Using Smart Devices - Maarten Bieshaar; Malte Depping; Jan Schneegans; Bernhard Sick (CoRR, 2018)

Smart Device based Initial Movement Detection of Cyclists using Convolutional Neuronal Networks - Jan Schneegans; Maarten Bieshaar (CoRR, 2018)

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence - Maarten Bieshaar; Günther Reitberger; Stefan Zernetsch; Bernhard Sick; Erich Fuchs; Konrad Doll (CoRR, 2018)

Cooperative starting intention detection of cyclists based on smart devices and infrastructure - Maarten Bieshaar; Stefan Zernetsch; Malte Depping; Bernhard Sick; Konrad Doll (20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017, Yokohama, Japan, October 16-19, 2017, 2017)

Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks - Jan Eilbrecht; Maarten Bieshaar; Stefan Zernetsch; Konrad Doll; Bernhard Sick; Olaf Stursberg (2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017, 2017)