| 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 | 51 | 2021 |
| 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 | 49 | 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 | 39 | 2018 |
| 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 | 32 | 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 | 31 | 2017 |
| 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 | 29 | 2021 |
| 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 | 29 | 2017 |
| Multi-Sensor Data and Knowledge Fusion--A Proposal for a Terminology Definition S Beddar-Wiesing, M Bieshaar arXiv preprint arXiv:2001.04171, 2020 | 23 | 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 | 17 | 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 | 13 | 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 | 12 | 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 | 11 | 2022 |
| Cooperative intention detection using machine learning. Advanced cyclist protection in the context of automated driving M Bieshaar kassel university press, 2021 | 10 | 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 |
| 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 | 8 | 2022 |
| Probabilistic vru trajectory forecasting for model-predictive planning a case study: Overtaking cyclists J Schneegans, J Eilbrecht, S Zernetsch, M Bieshaar, K Doll, O Stursberg, ... 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 272-279, 2021 | 8 | 2021 |
| Quantile Surfaces--Generalizing Quantile Regression to Multivariate Targets M Bieshaar, J Schreiber, S Vogt, A Gensler, B Sick arXiv preprint arXiv:2010.05898, 2020 | 8 | 2020 |
| Knowledge representations in technical systems--a taxonomy K Scharei, F Heidecker, M Bieshaar arXiv preprint arXiv:2001.04835, 2020 | 7 | 2020 |
| Corner cases in machine learning processes F Heidecker, M Bieshaar, B Sick AI Perspectives & Advances 6 (1), 1, 2024 | 6 | 2024 |
| 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 | 6 | 2022 |
Bernhard SickProfessor of Intelligent Embedded Systems, University of KasselVerified email at uni-kassel.de
