| Using point cloud comparisons for revealing deformations of natural and artificial objects C Holst, L Klingbeil, F Esser, H Kuhlmann 7th International Conference on Engineering Surveying (INGEO), 18-20, 2017 | 18 | 2017 |
| Quality analysis of a high-precision kinematic laser scanning system for the use of spatio-temporal plant and organ-level phenotyping in the field F Esser, L Klingbeil, L Zabawa, H Kuhlmann Remote Sensing 15 (4), 1117, 2023 | 5 | 2023 |
| Field robot for high-throughput and high-resolution 3D plant phenotyping: towards efficient and sustainable crop production F Esser, RA Rosu, A Cornelißen, L Klingbeil, H Kuhlmann, S Behnke IEEE Robotics & Automation Magazine, 2023 | 3 | 2023 |
| Accuracy improvement of mobile laser scanning point clouds using graph-based trajectory optimization F Esser, JA Moraga, L Klingbeil, H Kuhlmann 5th Joint International Symposium on Deformation Monitoring (JISDM 2022 …, 2023 | 2 | 2023 |
| Field Robot for High-throughput and High-resolution 3D Plant Phenotyping F Esser, RA Rosu, A Cornelißen, L Klingbeil, H Kuhlmann, S Behnke arXiv preprint arXiv:2310.11516, 2023 | 1 | 2023 |
| Automated Surface Area Estimation of Plants based on 3D Point Clouds L Zabawa, L Zabawa, F Esser, L Klingbeil, H Kuhlmann 7th workshop on Computer Vision in Plant Phenotyping and Agriculture at ICCV, 2021 | 1 | 2021 |
| System Calibration of a Field Phenotyping Robot with Multiple High-Precision Profile Laser Scanners F Esser, G Tombrink, A Cornelißen, L Klingbeil, H Kuhlmann arXiv preprint arXiv:2403.17788, 2024 | | 2024 |
| A 3D printed plant model for accurate and reliable 3D plant phenotyping J Bömer, F Esser, E Marks, RA Rosu, S Behnke, L Klingbeil, H Kuhlmann, ... GigaScience 13, giae035, 2024 | | 2024 |
