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 | 41 | 2021 |
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 | 39 | 2021 |
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 | 36 | 2018 |
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 | 28 | 2021 |
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 | 28 | 2018 |
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 | 26 | 2017 |
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 | 21 | 2017 |
Multi-Sensor Data and Knowledge Fusion--A Proposal for a Terminology Definition S Beddar-Wiesing, M Bieshaar arXiv preprint arXiv:2001.04171, 2020 | 19 | 2020 |
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 | 16 | 2021 |
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 | 9 | 2018 |
Cooperative intention detection using machine learning. Advanced cyclist protection in the context of automated driving M Bieshaar kassel university press, 2021 | 8 | 2021 |
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 | 8 | 2018 |
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 | 8 | 2018 |
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 | 7 | 2022 |
Quantile Surfaces--Generalizing Quantile Regression to Multivariate Targets M Bieshaar, J Schreiber, S Vogt, A Gensler, B Sick arXiv preprint arXiv:2010.05898, 2020 | 6 | 2020 |
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 | 5 | 2022 |
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 | 5 | 2021 |
Knowledge representations in technical systems--a taxonomy K Scharei, F Heidecker, M Bieshaar arXiv preprint arXiv:2001.04835, 2020 | 5 | 2020 |
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 | 4 | 2022 |
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 | 4 | 2019 |