| A fast histogram-based similarity measure for detecting loop closures in 3-d lidar data T Röhling, J Mack, D Schulz 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 41 | 2015 |
| High-precision phenotyping of grape bunch architecture using fast 3D sensor and automation F Rist, K Herzog, J Mack, R Richter, V Steinhage, R Töpfer Sensors 18 (3), 763, 2018 | 30 | 2018 |
| High-precision 3D detection and reconstruction of grapes from laser range data for efficient phenotyping based on supervised learning J Mack, C Lenz, J Teutrine, V Steinhage Computers and Electronics in Agriculture 135, 300-311, 2017 | 27 | 2017 |
| Ligand affinity prediction with multi-pattern kernels K Ullrich, J Mack, P Welke International Conference on Discovery Science, 474-489, 2016 | 7 | 2016 |
| Semantic labeling and reconstruction of grape bunches from 3D range data using a new RGB-D feature descriptor J Mack, F Schindler, F Rist, K Herzog, R Töpfer, V Steinhage Computers and Electronics in Agriculture 155, 96-102, 2018 | 4 | 2018 |
| Multi-view semantic labeling of 3d point clouds for automated plant phenotyping B Japes, J Mack, F Rist, K Herzog, R Töpfer, V Steinhage arXiv preprint arXiv:1805.03994, 2018 | 3 | 2018 |
| Constraint-based automated reconstruction of grape bunches from 3D range data for high-throughput phenotyping J Mack, F Rist, K Herzog, R Töpfer, V Steinhage Biosystems Engineering 197, 285-305, 2020 | 2 | 2020 |
| Experimental Evaluation of the Performance of Local Shape Descriptors for the Classification of 3D Data in Precision Farming J Mack, A Trakowski, F Rist, K Herzog, R Töpfer, V Steinhage Journal of Computer and Communications 5 (12), 1-12, 2017 | 2 | 2017 |
| Combination of an automated 3D field phenotyping workflow and predictive modelling for high-throughput and non-invasive phenotyping of grape bunches F Rist, D Gabriel, J Mack, V Steinhage, R Töpfer, K Herzog Remote Sensing 11 (24), 2953, 2019 | 1 | 2019 |
Volker SteinhageAcad. Dir., Bonn Univ.Bestätigte E-Mail-Adresse bei cs.uni-bonn.de
