Mikkel Fly Kragh
Mikkel Fly Kragh
Industrial Postdoc
Verified email at eng.au.dk
Cited by
Cited by
Kinect depth sensor evaluation for computer vision applications
MR Andersen, T Jensen, P Lisouski, AK Mortensen, MK Hansen, ...
Aarhus University, 1-37, 2012
Automatic behaviour analysis system for honeybees using computer vision
GJ Tu, MK Hansen, P Kryger, P Ahrendt
Computers and Electronics in Agriculture 122, 10-18, 2016
Object detection and terrain classification in agricultural fields using 3D lidar data
M Kragh, RN Jørgensen, H Pedersen
International conference on computer vision systems, 188-197, 2015
FieldSAFE: Dataset for Obstacle Detection in Agriculture
MF Kragh, P Christiansen, MS Laursen, M Larsen, KA Steen, O Green, ...
Sensors 17 (11), 2017
Unsuperpoint: End-to-end unsupervised interest point detector and descriptor
PH Christiansen, MF Kragh, Y Brodskiy, H Karstoft
arXiv preprint arXiv:1907.04011, 2019
Platform for evaluating sensors and human detection in autonomous mowing operations
P Christiansen, M Kragh, KA Steen, H Karstoft, RN Jørgensen
Precision agriculture 18 (3), 350-365, 2017
Advanced sensor platform for human detection and protection in autonomous farming
P Christiansen, M Kragh, KA Steen, H Karstoft, RN Jørgensen
European Conference on Precision Agriculture 10, 291-298, 2015
Multi-modal detection and mapping of static and dynamic obstacles in agriculture for process evaluation
T Korthals, M Kragh, P Christiansen, H Karstoft, RN Jørgensen, U Rückert
Frontiers in Robotics and AI 5, 28, 2018
Multi-modal obstacle detection and evaluation of occupancy grid mapping in agriculture
M Kragh, P Christiansen, T Korthals, T Jungeblut, H Karstoft, ...
Proceedings of the International Conference on Agricultural Engineering …, 2016
Multimodal obstacle detection in unstructured environments with conditional random fields
M Kragh, J Underwood
Journal of Field Robotics 37 (1), 53-72, 2020
Automatic grading of human blastocysts from time-lapse imaging
MF Kragh, J Rimestad, J Berntsen, H Karstoft
Computers in biology and medicine 115, 103494, 2019
Towards inverse sensor mapping in agriculture
T Korthals, M Kragh, P Christiansen, U Rückert
arXiv preprint arXiv:1805.08595, 2018
Towards a DSL for perception-based safety systems
JTI Mogensen, SD Suvei, MK Hansen, MP Christiansen, UP Schultz
6th International Workshop on Domain-Specific Languages and models for …, 2015
Lidar-Based Obstacle Detection and Recognition for Autonomous Agricultural Vehicles
MF Kragh
Department of Engineering, Aarhus University, 2018
3D impurity inspection of cylindrical transparent containers
M Kragh, K Bjerge, P Ahrendt
Measurement Science and Technology 28 (1), 017002, 2016
Sparse-to-Dense Depth Completion in Precision Farming
S Farkhani, MF Kragh, PH Christiansen, RN Jørgensen, H Karstoft
Proceedings of the 3rd International Conference on Vision, Image and Signal …, 2019
Automatic morphological grading of human blastocysts with time-lapse imaging and artificial intelligence
MF Kragh, J Rimestad, J Berntsen, H Karstoft
ESHRE, 2019
Towards a DSL for Perception-Based Safety Systems
JTM Ingibergsson, SD Suvei, MK Hansen, P Christiansen, UP Schultz
arXiv preprint arXiv:1603.01965, 2016
Self-supervised Traversability Assessment in Field Environments with Lidar and Camera
MK Hansen, J Underwood, H Karstoft
International Conference on Agricultural Engineering 2016, 2016
Platform for evaluating sensors and human detection in autonomous
P Christiansen, M Kragh, KA Steen, H Karstoft, RN Jørgensen
Precision Agriculture, 0
The system can't perform the operation now. Try again later.
Articles 1–20