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2020 – today
- 2024
[j19]Helena Russello
, Rik van der Tol, Menno Holzhauer, Eldert J. van Henten, Gert Kootstra:
Video-based automatic lameness detection of dairy cows using pose estimation and multiple locomotion traits. Comput. Electron. Agric. 223: 109040 (2024)- [j18]Robert van de Ven, Ali Leylavi Shoushtari, Ard Nieuwenhuizen, Gert Kootstra, Eldert J. van Henten:
Using Learning from Demonstration (LfD) to perform the complete apple harvesting task. Comput. Electron. Agric. 224: 109195 (2024) - [j17]David Rapado Rincon, Henk Nap, Katarína Smolenova, Eldert J. van Henten, Gert Kootstra:
MOT-DETR: 3D single shot detection and tracking with transformers to build 3D representations for agro-food robots. Comput. Electron. Agric. 225: 109275 (2024) - [j16]Yuxiang Wang, Zengling Yang, Haris Ahmad Khan, Gert Kootstra:
Improving Radiometric Block Adjustment for UAV Multispectral Imagery under Variable Illumination Conditions. Remote. Sens. 16(16): 3019 (2024) - [j15]Thijs Ruigrok, Eldert J. van Henten, Gert Kootstra:
Stereo Vision for Plant Detection in Dense Scenes. Sensors 24(6): 1942 (2024) - [c17]Akshay K. Burusa, Eldert J. van Henten, Gert Kootstra:
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant Nodes. ICRA 2024: 15854-15860 - [i14]Helena Russello, Rik van der Tol, Menno Holzhauer, Eldert J. van Henten, Gert Kootstra:
Video-based Automatic Lameness Detection of Dairy Cows using Pose Estimation and Multiple Locomotion Traits. CoRR abs/2401.05202 (2024) - [i13]David Rapado Rincon, Akshay K. Burusa, Eldert J. van Henten, Gert Kootstra:
A comparison between single-stage and two-stage 3D tracking algorithms for greenhouse robotics. CoRR abs/2404.12963 (2024) - [i12]Robert van de Ven, Ard Nieuwenhuizen, Eldert J. van Henten, Gert Kootstra:
DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration. CoRR abs/2409.16957 (2024) - [i11]Maria Sokolova, Pieter M. Blok, Angelo Mencarelli, Arjan Vroegop, Aloysius van Helmond, Gert Kootstra:
Improved detection of discarded fish species through BoxAL active learning. CoRR abs/2410.04880 (2024) - 2023
- [j14]Thijs Ruigrok, Eldert J. van Henten, Gert Kootstra:
Improved generalization of a plant-detection model for precision weed control. Comput. Electron. Agric. 204: 107554 (2023) - [i10]Akshay K. Burusa, Joost Scholten, David Rapado Rincon, Xin Wang, Eldert J. van Henten, Gert Kootstra:
Efficient Search and Detection of Relevant Plant Parts using Semantics-Aware Active Vision. CoRR abs/2306.09801 (2023) - [i9]David Rapado Rincon, Eldert J. van Henten, Gert Kootstra:
MinkSORT: A 3D deep feature extractor using sparse convolutions to improve 3D multi-object tracking in greenhouse tomato plants. CoRR abs/2307.05219 (2023) - [i8]Jianchao Ci, Xin Wang, David Rapado Rincon, Akshay K. Burusa, Gert Kootstra:
3D Pose Estimation of Tomato Peduncle Nodes using Deep Keypoint Detection and Point Cloud. CoRR abs/2311.04699 (2023) - [i7]David Rapado Rincon, Henk Nap, Katarína Smolenova, Eldert J. van Henten, Gert Kootstra:
MOT-DETR: 3D Single Shot Detection and Tracking with Transformers to build 3D representations for Agro-Food Robots. CoRR abs/2311.15674 (2023) - [i6]Akshay K. Burusa, Eldert J. van Henten, Gert Kootstra:
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant Nodes. CoRR abs/2311.16759 (2023) - 2022
- [j13]Helena Russello, Rik van der Tol, Gert Kootstra:
T-LEAP: Occlusion-robust pose estimation of walking cows using temporal information. Comput. Electron. Agric. 192: 106559 (2022) - [j12]Christian Lamping, Marjolein Derks, Peter W. G. Groot Koerkamp, Gert Kootstra:
ChickenNet - an end-to-end approach for plumage condition assessment of laying hens in commercial farms using computer vision. Comput. Electron. Agric. 194: 106695 (2022) - [j11]Pieter M. Blok, Gert Kootstra, Hakim Elchaoui Elghor, Boubacar Diallo, Frits K. van Evert, Eldert J. van Henten:
Active learning with MaskAL reduces annotation effort for training Mask R-CNN on a broccoli dataset with visually similar classes. Comput. Electron. Agric. 197: 106917 (2022) - [i5]Carlos Carbone, Dario Albani, Federico Magistri, Dimitri Ognibene, Cyrill Stachniss, Gert Kootstra, Daniele Nardi, Vito Trianni:
Monitoring and mapping of crop fields with UAV swarms based on information gain. CoRR abs/2203.11766 (2022) - [i4]Akshay K. Burusa, Eldert J. van Henten, Gert Kootstra:
Attention-driven Active Vision for Efficient Reconstruction of Plants and Targeted Plant Parts. CoRR abs/2206.10274 (2022) - [i3]David Rapado Rincon, Eldert J. van Henten, Gert Kootstra:
Development and evaluation of automated localization and reconstruction of all fruits on tomato plants in a greenhouse based on multi-view perception and 3D multi-object tracking. CoRR abs/2211.02760 (2022) - 2021
- [j10]Nan Jia, Gert Kootstra, Peter W. G. Groot Koerkamp, Zhengxiang Shi, Songhuai Du:
Segmentation of body parts of cows in RGB-depth images based on template matching. Comput. Electron. Agric. 180: 105897 (2021) - [j9]Simon van Mourik, Rik van der Tol, Raphael Linker, Daniel Reyes-Lastiri, Gert Kootstra, Peter W. G. Groot Koerkamp, Eldert J. van Henten:
Introductory overview: Systems and control methods for operational management support in agricultural production systems. Environ. Model. Softw. 139: 105031 (2021) - [j8]Pieter M. Blok, Frits K. van Evert, Antonius P. M. Tielen, Eldert J. van Henten, Gert Kootstra:
The effect of data augmentation and network simplification on the image-based detection of broccoli heads with Mask R-CNN. J. Field Robotics 38(1): 85-104 (2021) - [c16]Carlos Carbone, Dario Albani, Federico Magistri, Dimitri Ognibene, Cyrill Stachniss, Gert Kootstra, Daniele Nardi, Vito Trianni:
Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain. DARS 2021: 306-319 - [i2]Helena Russello, Rik van der Tol, Gert Kootstra:
T-LEAP: occlusion-robust pose estimation of walking cows using temporal information. CoRR abs/2104.08029 (2021) - [i1]Pieter M. Blok, Gert Kootstra, Hakim Elchaoui Elghor, Boubacar Diallo, Frits K. van Evert, Eldert J. van Henten:
Active learning with MaskAL reduces annotation effort for training Mask R-CNN. CoRR abs/2112.06586 (2021) - 2020
- [j7]Thijs Ruigrok, Eldert J. van Henten, Johan Booij, Koen van Boheemen, Gert Kootstra:
Application-Specific Evaluation of a Weed-Detection Algorithm for Plant-Specific Spraying. Sensors 20(24): 7262 (2020)
2010 – 2019
- 2016
- [j6]Franck Golbach, Gert Kootstra, Sanja Damjanovic, Gerwoud Otten, Rick van de Zedde:
Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping. Mach. Vis. Appl. 27(5): 663-680 (2016) - 2014
- [j5]Alin Drimus, Gert Kootstra, Arne Bilberg, Danica Kragic:
Design of a flexible tactile sensor for classification of rigid and deformable objects. Robotics Auton. Syst. 62(1): 3-15 (2014) - [c15]Ali Ghadirzadeh, Gert Kootstra, Atsuto Maki, Mårten Björkman:
Learning visual forward models to compensate for self-induced image motion. RO-MAN 2014: 1110-1115 - 2012
- [j4]Gert Kootstra, Mila Popovic, Jimmy A. Jørgensen, Kamil Kuklinski, Kanstantsin Miatliuk, Danica Kragic, Norbert Krüger:
Enabling grasping of unknown objects through a synergistic use of edge and surface information. Int. J. Robotics Res. 31(10): 1190-1213 (2012) - [j3]Gert Kootstra, Mila Popovic, Jimmy A. Jørgensen, Danica Kragic, Henrik Gordon Petersen, Norbert Krüger:
VisGraB: A benchmark for vision-based grasping. Paladyn J. Behav. Robotics 3(2): 54-62 (2012) - [c14]Maja Rudinac, Gert Kootstra, Danica Kragic, Pieter P. Jonker:
Learning and recognition of objects inspired by early cognition. IROS 2012: 4177-4184 - [c13]Gert Kootstra, Niklas Wilming, Nico M. Schmidt, Mikael Djurfeldt, Danica Kragic, Peter König:
Learning and Adaptation of Sensorimotor Contingencies: Prism-Adaptation, a Case Study. SAB 2012: 341-350 - 2011
- [j2]Gert Kootstra, Bart de Boer, Lambert Schomaker:
Predicting Eye Fixations on Complex Visual Stimuli Using Local Symmetry. Cogn. Comput. 3(1): 223-240 (2011) - [c12]Alin Drimus, Gert Kootstra, Arne Bilberg, Danica Kragic:
Classification of rigid and deformable objects using a novel tactile sensor. ICAR 2011: 427-434 - [c11]Gert Kootstra, Danica Kragic:
Fast and bottom-up object detection, segmentation, and evaluation using Gestalt principles. ICRA 2011: 3423-3428 - [c10]Mila Popovic, Gert Kootstra, Jimmy A. Jørgensen, Danica Kragic, Norbert Krüger:
Grasping unknown objects using an Early Cognitive Vision system for general scene understanding. IROS 2011: 987-994 - 2010
- [c9]Gert Kootstra, Niklas Bergström, Danica Kragic:
Fast and Automatic Detection and Segmentation of unknown objects. Humanoids 2010: 442-447 - [c8]Gert Kootstra, Niklas Bergström, Danica Kragic:
Using Symmetry to Select Fixation Points for Segmentation. ICPR 2010: 3894-3897 - [c7]Matthijs Jan Zwinderman, Paul E. Rybski, Gert Kootstra:
A human-assisted approach for a mobile robot to learn 3D object models using active vision. RO-MAN 2010: 397-403
2000 – 2009
- 2009
- [j1]Gert Kootstra, Bart de Boer:
Tackling the premature convergence problem in Monte-Carlo localization. Robotics Auton. Syst. 57(11): 1107-1118 (2009) - [c6]Maria E. Niessen, Gert Kootstra, Sjoerd de Jong, Tjeerd C. Andringa:
Expectancy-Based Robot Localization Through Context Evaluation. IC-AI 2009: 371-377 - [c5]Gert Kootstra, Sjoerd de Jong, Lambert Schomaker:
Using Local Symmetry for Landmark Selection. ICVS 2009: 94-103 - [c4]Gert Kootstra, Lambert Schomaker:
Using symmetrical regions of interest to improve visual SLAM. IROS 2009: 930-935 - 2008
- [c3]Gert Kootstra, Arco Nederveen, Bart de Boer:
Paying Attention to Symmetry. BMVC 2008: 1-10 - [c2]Gert Kootstra, Jelmer Ypma, Bart de Boer:
Active exploration and keypoint clustering for object recognition. ICRA 2008: 1005-1010 - 2007
- [c1]Gert Kootstra, Jelmer Ypma, Bart de Boer:
Exploring objects for recognition in the real word. ROBIO 2007: 429-434
Coauthor Index
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