Gert Kootstra
Citado por
Citado por
Design of a flexible tactile sensor for classification of rigid and deformable objects
A Drimus, G Kootstra, A Bilberg, D Kragic
Robotics and Autonomous Systems 62 (1), 3-15, 2014
Current status and future challenges in implementing and upscaling vertical farming systems
SH Van Delden, M SharathKumar, M Butturini, LJA Graamans, ...
Nature Food 2 (12), 944-956, 2021
Paying attention to symmetry
G Kootstra, A Nederveen, B De Boer
British Machine Vision Conference (BMVC2008), 1115-1125, 2008
Machine learning in plant science and plant breeding
ADJ van Dijk, G Kootstra, W Kruijer, D de Ridder
Iscience 24 (1), 2021
Selective harvesting robotics: current research, trends, and future directions
G Kootstra, X Wang, PM Blok, J Hemming, E Van Henten
Current Robotics Reports 2, 95-104, 2021
Predicting eye fixations on complex visual stimuli using local symmetry
G Kootstra, B de Boer, LRB Schomaker
Cognitive computation 3, 223-240, 2011
Plant-part segmentation using deep learning and multi-view vision
W Shi, R van de Zedde, H Jiang, G Kootstra
Biosystems Engineering 187, 81-95, 2019
Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping
F Golbach, G Kootstra, S Damjanovic, G Otten, R van de Zedde
Machine Vision and Applications 27, 663-680, 2016
Grasping unknown objects using an early cognitive vision system for general scene understanding
M Popović, G Kootstra, JA Jørgensen, D Kragic, N Krüger
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
Classification of rigid and deformable objects using a novel tactile sensor
A Drimus, G Kootstra, A Bilberg, D Kragic
2011 15th International Conference on Advanced Robotics (ICAR), 427-434, 2011
Enabling grasping of unknown objects through a synergistic use of edge and surface information
G Kootstra, M Popović, JA Jørgensen, K Kuklinski, K Miatliuk, D Kragic, ...
The international journal of robotics research 31 (10), 1190-1213, 2012
Robust node detection and tracking in fruit-vegetable crops using deep learning and multi-view imaging
FP Boogaard, KSAH Rongen, GW Kootstra
Biosystems Engineering 192, 117-132, 2020
The effect of data augmentation and network simplification on the image‐based detection of broccoli heads with Mask R‐CNN
PM Blok, FK van Evert, APM Tielen, EJ van Henten, G Kootstra
Journal of Field Robotics 38 (1), 85-104, 2021
Prediction of human eye fixations using symmetry
G Koostra, LRB Schomaker
Proceedings of the Annual Meeting of the Cognitive Science Society 31 (31), 2009
Application-specific evaluation of a weed-detection algorithm for plant-specific spraying
T Ruigrok, E van Henten, J Booij, K Van Boheemen, G Kootstra
Sensors 20 (24), 7262, 2020
Using symmetry to select fixation points for segmentation
G Kootstra, N Bergström, D Kragic
2010 20th International Conference on Pattern Recognition, 3894-3897, 2010
Active exploration and keypoint clustering for object recognition
G Kootstra, J Ypma, B De Boer
2008 IEEE International Conference on Robotics and Automation, 1005-1010, 2008
VisGraB: A benchmark for vision-based grasping
G Kootstra, M Popović, JA Jørgensen, D Kragic, HG Petersen, N Krüger
Paladyn 3, 54-62, 2012
Fast and bottom-up object detection, segmentation, and evaluation using Gestalt principles
G Kootstra, D Kragic
2011 IEEE International Conference on Robotics and Automation, 3423-3428, 2011
Fast and automatic detection and segmentation of unknown objects
G Kootstra, N Bergström, D Kragic
2010 10th IEEE-RAS International Conference on Humanoid Robots, 442-447, 2010
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