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Maarten Bieshaar
Maarten Bieshaar
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An application-driven conceptualization of corner cases for perception in highly automated driving
F Heidecker, J Breitenstein, K Rösch, J Löhdefink, M Bieshaar, C Stiller, ...
2021 IEEE Intelligent Vehicles Symposium (IV), 644-651, 2021
382021
Detecting intentions of vulnerable road users based on collective intelligence
M Bieshaar, G Reitberger, S Zernetsch, B Sick, E Fuchs, K Doll
arXiv preprint arXiv:1809.03916, 2018
362018
Description of corner cases in automated driving: Goals and challenges
D Bogdoll, J Breitenstein, F Heidecker, M Bieshaar, B Sick, T Fingscheidt, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
352021
Cooperative starting movement detection of cyclists using convolutional neural networks and a boosted stacking ensemble
M Bieshaar, S Zernetsch, A Hubert, B Sick, K Doll
IEEE Transactions on Intelligent Vehicles 3 (4), 534-544, 2018
282018
Cooperative starting intention detection of cyclists based on smart devices and infrastructure
M Bieshaar, S Zernetsch, M Depping, B Sick, K Doll
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
252017
Out-of-distribution detection and generation using soft brownian offset sampling and autoencoders
F Moller, D Botache, D Huseljic, F Heidecker, M Bieshaar, B Sick
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
232021
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks
J Eilbrecht, M Bieshaar, S Zernetsch, K Doll, B Sick, O Stursberg
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
212017
Multi-Sensor Data and Knowledge Fusion--A Proposal for a Terminology Definition
S Beddar-Wiesing, M Bieshaar
arXiv preprint arXiv:2001.04171, 2020
182020
Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks
F Heidecker, A Hannan, M Bieshaar, B Sick
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
142021
Active sorting–an efficient training of a sorting robot with active learning techniques
M Herde, D Kottke, A Calma, M Bieshaar, S Deist, B Sick
2018 international joint conference on neural networks (IJCNN), 1-8, 2018
92018
Cooperative intention detection using machine learning. Advanced cyclist protection in the context of automated driving
M Bieshaar
kassel university press, 2021
82021
Cooperative tracking of cyclists based on smart devices and infrastructure
G Reitberger, M Bieshaar, S Zernetsch, K Doll, B Sick, E Fuchs
2018 21st International Conference On Intelligent Transportation Systems …, 2018
82018
Starting movement detection of cyclists using smart devices
M Bieshaar, M Depping, J Schneegans, B Sick
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
72018
Quantile Surfaces--Generalizing Quantile Regression to Multivariate Targets
M Bieshaar, J Schreiber, S Vogt, A Gensler, B Sick
arXiv preprint arXiv:2010.05898, 2020
62020
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
K Rösch, F Heidecker, J Truetsch, K Kowol, C Schicktanz, M Bieshaare, ...
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 86-93, 2022
52022
Towards highly automated machine-learning-empowered monitoring of motor test stands
D Botache, F Bethke, M Hardieck, M Bieshaar, L Brabetz, M Ayeb, P Zipf, ...
2021 IEEE International Conference on Autonomic Computing and Self …, 2021
52021
Knowledge representations in technical systems--a taxonomy
K Scharei, F Heidecker, M Bieshaar
arXiv preprint arXiv:2001.04835, 2020
52020
Generating synthetic time series for machine-learning-empowered monitoring of electric motor test benches
T Westmeier, D Botache, M Bieshaar, B Sick
2022 IEEE 9th International Conference on Data Science and Advanced …, 2022
42022
NDNET: a unified framework for anomaly and novelty detection
J Decke, J Schmeißing, D Botache, M Bieshaar, B Sick, C Gruhl
International Conference on Architecture of Computing Systems, 197-210, 2022
42022
Early pedestrian movement detection using smart devices based on human activity recognition
D Botache, L Dandan, M Bieshaar, B Sick
Gesellschaft für Informatik eV, 2019
42019
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