Gert Kootstra
Zitiert von
Zitiert von
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
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
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
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20