| Gpu architecture for stationary multisensor pedestrian detection at smart intersections D Weimer, S Köhler, C Hellert, K Doll, U Brunsmann, R Krzikalla 2011 IEEE Intelligent Vehicles Symposium (IV), 89-94, 2011 | 25 | 2011 |
| Artificial intelligence methods in in-cabin use cases: a survey Y Rong, C Han, C Hellert, A Loyal, E Kasneci IEEE Intelligent Transportation Systems Magazine 14 (3), 132-145, 2021 | 16 | 2021 |
| Safety assurance of machine learning for perception functions S Burton, C Hellert, F Hüger, M Mock, A Rohatschek Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022 | 15 | 2022 |
| A high level active perception concept for UAV mission scenarios C Hellert, D Smirnov, M Russ, P Stuetz Deutsche Gesellschaft für Luft-und Raumfahrt-Lilienthal-Oberth eV, 2012 | 15 | 2012 |
| Airborne sensor and perception management: Experiments and Results for surveillance UAS M Russ, M Schmitt, C Hellert, P Stütz AIAA Infotech@ Aerospace (I@ A) Conference, 5144, 2013 | 14 | 2013 |
| Using algorithm selection for adaptive vehicle perception aboard UAV C Hellert, S Koch, P Stütz 2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019 | 11 | 2019 |
| Performance prediction and selection of aerial perception functions during UAV missions C Hellert, P Stütz 2017 IEEE Aerospace Conference, 1-12, 2017 | 11 | 2017 |
| Knowledge augmented machine learning with applications in autonomous driving: A survey J Wörmann, D Bogdoll, E Bührle, H Chen, EF Chuo, K Cvejoski, L van Elst, ... arXiv preprint arXiv:2205.04712, 2022 | 10 | 2022 |
| Algorithmenauswahl für den adaptiven Sensoreinsatz an Bord unbemannter Luftfahrzeuge C Hellert Universität der Bundeswehr München, Institut für Flugsysteme, 2019 | 7 | 2019 |
| Ontologiedesign für Sensor-und Perzeptionsfähigkeiten von UAVs C Hellert, D Smirnov, P Stuetz Deutscher Luft-und Raumfahrtkongress 2014, 2014 | 6 | 2014 |
| Selecting Adequate Aerial Perceptual Functions with Fuzzy Logic C Hellert, P Stütz VISUAL 2016, The First International Conference on Applications and Systems …, 2016 | 5 | 2016 |
| Evaluating the stability of semantic concept representations in CNNs for robust explainability G Mikriukov, G Schwalbe, C Hellert, K Bade World Conference on Explainable Artificial Intelligence, 499-524, 2023 | 4 | 2023 |
| A concept for adaptation of perceptual capabilities for UAV platforms using case-based reasoning C Hellert, P Stütz 52nd Aerospace Sciences Meeting, 0792, 2014 | 2 | 2014 |
| GCPV: Guided Concept Projection Vectors for the Explainable Inspection of CNN Feature Spaces G Mikriukov, G Schwalbe, C Hellert, K Bade arXiv preprint arXiv:2311.14435, 2023 | 1 | 2023 |
| Quantified Semantic Comparison of Convolutional Neural Networks G Mikriukov, G Schwalbe, C Hellert, K Bade arXiv preprint arXiv:2305.07663, 2023 | 1 | 2023 |
| Methods and devices for building a training dataset IV Gheorghe, C Hellert, AE Loyal US Patent App. 17/937,628, 2023 | | 2023 |
| Intelligente Verkehrssicherheits-und Informationssysteme U Brunsmann, K Doll, C Hellert, J Kempf, S Köhler, F Saxen, D Weimer | | 2010 |
