| Pattern recognition: introduction, features, classifiers and principles J Beyerer, R Hagmanns, D Stadler Walter de Gruyter GmbH & Co KG, 2024 | 57 | 2024 |
| The goose dataset for perception in unstructured environments P Mortimer, R Hagmanns, M Granero, T Luettel, J Petereit, HJ Wuensche 2024 IEEE International Conference on Robotics and Automation (ICRA), 14838 …, 2024 | 11 | 2024 |
| Efficient Global Occupancy Mapping for Mobile Robots using OpenVDB R Hagmanns, T Emter, M Grosse-Besselmann, J Beyerer arXiv preprint arXiv:2211.04067, 2022 | 4 | 2022 |
| Synthetic data generation for the continuous development and testing of autonomous construction machinery A Schuster, R Hagmanns, I Sonji, A Löcklin, J Petereit, C Ebert, M Weyrich at-Automatisierungstechnik 71 (11), 953-968, 2023 | 2 | 2023 |
| Dynamic Planning Pipeline for Indoor Inspection Flights R Hagmanns Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and …, 2022 | 1 | 2022 |
| Utilizing synthetic data for object segmentation on autonomous heavy machinery in dynamic unstructured environments M Granero, R Hagmanns, J Petereit Autonomous Systems for Security and Defence 13207, 95-102, 2024 | | 2024 |
| Path Planning for the Autonomous Inspection of Voxelized Structures R Hagmanns, B Ruf, R Bockmühl, M Weißer, J Beyerer 2024 IEEE International Symposium on Safety Security Rescue Robotics (SSRR …, 2024 | | 2024 |
| Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation R Hagmanns, P Mortimer, M Granero, T Luettel, J Petereit arXiv preprint arXiv:2409.18788, 2024 | | 2024 |
| 1 Fundamentals and definitions J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| 9 Classifier-independent concepts J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| 7 Special classifiers J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| C Random processes J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| 3 Bayesian decision theory J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| A Solutions to the exercises J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| 5 Parameter free methods J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| 4 Parameter estimation J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| BA primer on Lie theory J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| Notation J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| Preface of 2nd edition J Beyerer, R Hagmanns, D Stadler De Gruyter, 2024 | | 2024 |
| Structural Inspection Planning for Mobile Robots R Hagmanns Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and …, 2023 | | 2023 |
