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2020 – today
- 2024
[c22]Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar, Farzad Nozarian, Rudolph Triebel:
A Safety-Adapted Loss for Pedestrian Detection in Autonomous Driving. ICRA 2024: 4428-4434- [i18]Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar, Farzad Nozarian, Rudolph Triebel:
A Safety-Adapted Loss for Pedestrian Detection in Automated Driving. CoRR abs/2402.02986 (2024) - [i17]Florian Heidecker, Ahmad El-Khateeb, Maarten Bieshaar, Bernhard Sick:
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation. CoRR abs/2404.11266 (2024) - 2023
- [c21]Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt:
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. ICCV (Workshops) 2023: 3993-4002 - 2022
- [c20]Jens Decke
, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl:
NDNET: A Unified Framework for Anomaly and Novelty Detection. ARCS 2022: 197-210 - [c19]Tobias Westmeier, Diego Botache, Maarten Bieshaar, Bernhard Sick:
Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches. DSAA 2022: 1-10 - [c18]Jan Schneegans, Maarten Bieshaar, Bernhard Sick:
A Practical Evaluation of Active Learning Approaches for Object Detection. IAL@PKDD/ECML 2022: 49-67 - [c17]Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller:
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. SSCI 2022: 86-93 - [i16]Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller:
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. CoRR abs/2210.08885 (2022) - 2021
- [b1]Maarten Bieshaar:
Cooperative intention detection using machine learning: advanced cyclist protection in the context of automated driving. University of Kassel, Germany, 2021, ISBN 978-3-7376-0927-2, pp. 1-291 - [c16]Diego Botache, Florian Bethke, Martin Hardieck, Maarten Bieshaar, Ludwig Brabetz, Mohamed Ayeb, Peter Zipf, Bernhard Sick:
Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands. ACSOS 2021: 120-130 - [c15]Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick:
Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders. CVPR Workshops 2021: 46-55 - [c14]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. ICCVW 2021: 1023-1028 - [c13]Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick:
Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists. IV Workshops 2021: 272-279 - [c12]Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick:
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. IV 2021: 644-651 - [c11]Maarten Bieshaar, Marek Herde, Denis Huseljic, Bernhard Sick:
A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving. IAL@PKDD/ECML 2021: 65-69 - [c10]Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick:
Cyclist Motion State Forecasting - Going beyond Detection. SSCI 2021: 1-8 - [d2]Viktor Kress, Stefan Zernetsch, Maarten Bieshaar, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick:
Pedestrians and Cyclists in Road Traffic: Trajectories, 3D Poses and Semantic Maps. Zenodo, 2021
- [d1]Viktor Kress, Stefan Zernetsch, Hannes Reichert, Manuel Hetzel, Maarten Bieshaar, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick:
Aschaffenburg Pose Dataset. Zenodo, 2021 - [i15]Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick:
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. CoRR abs/2103.03678 (2021) - [i14]Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick:
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders. CoRR abs/2105.02965 (2021) - [i13]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. CoRR abs/2109.09607 (2021) - 2020
- [c9]Florian Heidecker, Abdul Hannan, Maarten Bieshaar, Bernhard Sick:
Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks. ICPR Workshops (4) 2020: 361-374 - [c8]Jan Schneegans, Maarten Bieshaar, Florian Heidecker, Bernhard Sick:
Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks. ICPR Workshops (4) 2020: 375-389 - [p1]Maarten Bieshaar:
Kooperative Absichtserkennung mittels maschineller Lernverfahren. Ausgezeichnete Informatikdissertationen 2020: 39-48 - [i12]Silvia Beddar-Wiesing, Maarten Bieshaar:
Multi-Sensor Data and Knowledge Fusion - A Proposal for a Terminology Definition. CoRR abs/2001.04171 (2020) - [i11]Kristina Scharei, Florian Heidecker, Maarten Bieshaar:
Knowledge Representations in Technical Systems - A Taxonomy. CoRR abs/2001.04835 (2020) - [i10]Stephan Deist, Jens Schreiber, Maarten Bieshaar, Bernhard Sick:
Extended Coopetitive Soft Gating Ensemble. CoRR abs/2004.14026 (2020) - [i9]Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick:
Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets. CoRR abs/2010.05898 (2020)
2010 – 2019
- 2019
- [c7]Diego Botache, Dandan Liu, Maarten Bieshaar, Bernhard Sick:
Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition. GI-Jahrestagung (Workshops) 2019: 229-238 - 2018
- [j1]Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll:
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. IEEE Trans. Intell. Veh. 3(4): 534-544 (2018) - [c6]Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick:
Starting Movement Detection of Cyclists Using Smart Devices. DSAA 2018: 313-322 - [c5]Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick:
Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. IJCNN 2018: 1-8 - [c4]Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Erich Fuchs:
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. ITSC 2018: 436-443 - [c3]Jens Schreiber, Maarten Bieshaar, Andre Gensler, Bernhard Sick, Stephan Deist:
Coopetitive Soft Gating Ensemble. FAS*W@SASO/ICAC 2018: 190-197 - [i8]Günther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs:
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. CoRR abs/1803.02096 (2018) - [i7]Maarten Bieshaar:
Where is my Device? - Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users. CoRR abs/1803.02097 (2018) - [i6]Maarten Bieshaar, Günther Reitberger, Viktor Kreß, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick:
Highly Automated Learning for Improved Active Safety of Vulnerable Road Users. CoRR abs/1803.03479 (2018) - [i5]Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll:
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. CoRR abs/1803.03487 (2018) - [i4]Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick:
Coopetitive Soft Gating Ensemble. CoRR abs/1807.01020 (2018) - [i3]Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick:
Starting Movement Detection of Cyclists Using Smart Devices. CoRR abs/1808.04449 (2018) - [i2]Jan Schneegans, Maarten Bieshaar:
Smart Device based Initial Movement Detection of Cyclists using Convolutional Neuronal Networks. CoRR abs/1808.04451 (2018) - [i1]Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll:
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. CoRR abs/1809.03916 (2018) - 2017
- [c2]Maarten Bieshaar, Stefan Zernetsch, Malte Depping, Bernhard Sick, Konrad Doll:
Cooperative starting intention detection of cyclists based on smart devices and infrastructure. ITSC 2017: 1-8 - [c1]Jan Eilbrecht, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Olaf Stursberg:
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks. SSCI 2017: 1-8
Coauthor Index
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last updated on 2024-10-09 20:27 CEST by the dblp team
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