| Seeing around street corners: Non-line-of-sight detection and tracking in-the-wild using doppler radar N Scheiner, F Kraus, F Wei, B Phan, F Mannan, N Appenrodt, W Ritter, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13 | 2020 |
| Radar-based road user classification and novelty detection with recurrent neural network ensembles N Scheiner, N Appenrodt, J Dickmann, B Sick 2019 IEEE Intelligent Vehicles Symposium (IV), 722-729, 2019 | 13 | 2019 |
| Radar-based feature design and multiclass classification for road user recognition N Scheiner, N Appenrodt, J Dickmann, B Sick 2018 IEEE Intelligent Vehicles Symposium (IV), 779-786, 2018 | 13 | 2018 |
| A multi-stage clustering framework for automotive radar data N Scheiner, N Appenrodt, J Dickmann, B Sick 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2060-2067, 2019 | 12 | 2019 |
| Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices N Scheiner, S Haag, N Appenrodt, B Duraisamy, J Dickmann, M Fritzsche, ... 2019 20th International Radar Symposium (IRS), 1-10, 2019 | 7 | 2019 |
| Automated ground truth estimation of vulnerable road users in automotive radar data using GNSS N Scheiner, N Appenrodt, J Dickmann, B Sick 2019 IEEE MTT-S International Conference on Microwaves for Intelligent …, 2019 | 5 | 2019 |
| Off-the-shelf sensor vs. experimental radar-How much resolution is necessary in automotive radar classification? N Scheiner, O Schumann, F Kraus, N Appenrodt, J Dickmann, B Sick 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-8, 2020 | 4 | 2020 |
| Radar for Autonomous Driving–Paradigm Shift from Mere Detection to Semantic Environment Understanding J Dickmann, J Lombacher, O Schumann, N Scheiner, SK Dehkordi, ... Fahrerassistenzsysteme 2018, 1-17, 2019 | 4 | 2019 |
| Using machine learning to detect ghost images in automotive radar F Kraus, N Scheiner, W Ritter, K Dietmayer 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 3 | 2020 |
| Machine Learning Concepts For Multiclass Classification Of Vulnerable Road Users N Scheiner, O Schumann 16th European Radar Conference (EuRAD 2019) Workshops, 2019 | 2 | 2019 |
| RadarScenes: A real-world radar point cloud data set for automotive applications O Schumann, M Hahn, N Scheiner, F Weishaupt, JF Tilly, J Dickmann, ... arXiv preprint arXiv:2104.02493, 2021 | 1 | 2021 |
| Verfahren zur Umgebungserfassung N Scheiner, F Kraus DE Patent DE102021001452A1, 2021 | | 2021 |
| Verfahren zum Einscheren eines Fahrzeuges N Scheiner DE Patent DE102021001105A1, 2021 | | 2021 |
| System, stationäre Infrastruktureinrichtung und Verfahren zum Austausch von elektrischer Energie in elektrisch betreibbaren Fahrzeugen N Scheiner DE Patent DE102020007737A1, 2020 | | 2020 |
| System und Verfahren zur Erkennung von verdeckten Verkehrsteilnehmern mit einem Radar und wenigstens einem Radarreflektor N Scheiner DE Patent DE102020005716A1, 2020 | | 2020 |
| AI in automotive Radar O Schumann, J Dickmann, J Lombacher, N Scheiner 22nd European Microwave Week (EuMW 2019) Automotive Forum, 2019 | | 2019 |
| Fahrassistenzsystem für Bremsvorgänge vor Lichtsignalanlagen N Scheiner DE Patent DE102019000497A1, 2019 | | 2019 |
Bernhard SickProfessor of Intelligent Embedded Systems, University of KasselBestätigte E-Mail-Adresse bei uni-kassel.de
