Skovsen, S., Laursen, M. S., Gislum, R., Eriksen, J., Dyrmann, M., Mortensen, A. K., Farkhani, S., Karstoft, H., Jensen, N.-P.
& Nyholm Jørgensen, R. (2019).
Species distribution mapping of grass clover leys using images for targeted nitrogen fertilization. I J. V. Stafford (red.),
Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 (s. 639-645). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-888-9_79
Skovsen, S., Dyrmann, M., Mortensen, A. K., Laursen, M. S., Gislum, R., Eriksen, J., Farkhani, S., Karstoft, H. & Nyholm Jørgensen, R. (2019).
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. Datasæt
https://vision.eng.au.dk/grass-clover-dataset/
Skovsen, S., Dyrmann, M., Mortensen, A. K., Laursen, M. S., Gislum, R., Eriksen, J., Farkhani, S., Karstoft, H. & Nyholm Jørgensen, R. (2019).
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. Poster-session præsenteret på IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, California, USA.
Skovsen, S., Dyrmann, M., Mortensen, A. K., Laursen, M. S., Gislum, R., Eriksen, J., Farkhani, S., Karstoft, H. & Nyholm Jørgensen, R. (2019).
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. I
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops IEEE.
http://openaccess.thecvf.com/content_CVPRW_2019/html/CVPPP/Skovsen_The_GrassClover_Image_Dataset_for_Semantic_and_Hierarchical_Species_Understanding_CVPRW_2019_paper.html
Auken, E., Foged, N., Larsen, J. J., Lassen, K. V. T., Maurya, P. K., Møller Dath, S. & Eiskjær, T. T. (2019).
tTEM — A towed transient electromagnetic system for detailed 3D imaging of the top 70 m of the subsurface.
Geophysics,
84(1), E13-E22.
https://doi.org/10.1190/geo2018-0355.1
Govdeli, Y., Moheed Bin Muzaffar, S., Raj, R., Elhadidi, B.
& Kayacan, E. (2019).
Unsteady aerodynamic modeling and control of pusher and tilt-rotor quadplane configurations.
Aerospace Science and Technology,
94, Artikel 105421.
https://doi.org/10.1016/j.ast.2019.105421
Liu, L., Grombacher, D., Osterman, G., Auken, E. & Larsen, J. J. (2019).
Vs data space retrieval and inversion for surface NMR. Afhandling præsenteret på 25th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019, The Hague, Holland.
Osterman, G. K., Haldrup, J. N. R., Liu, L., Larsen, J. J., Auken, E. & Grombacher, D. J. (2018).
Accounting for MRS signal phases imparted by measurement parameters. Afhandling præsenteret på 7th International Workshop on Magnetic Resonance, Jilin, Kina.
Camci, E., Raju Kripalani, D., Ma, L.
, Kayacan, E. & Ahmadieh Khanesar, M. (2018).
An Aerial Robot for Rice Farm Quality Inspection With Type-2 Fuzzy Neural Networks Tuned by Particle Swarm Optimization-Sliding Mode Control Hybrid Algorithm.
Swarm and Evolutionary Computation,
41, 1-8.
https://doi.org/10.1016/j.swevo.2017.10.003
Cowan, B., Fu, C., Imanberdiyev, N., Dong, Y.
& Kayacan, E. (2018).
A Performance Evaluation of Methods for Visual Tracking. I
The 14th International Conference on Control, Automation, Robotics and Vision (s. 1-6). IEEE.
Larsen, J. J., Liu, L., Grombacher, D. J., Osterman, G. K. & Auken, E. (2018).
Apsu - a new surface NMR instrument.. C01. Afhandling præsenteret på 7th International Workshop on Magnetic Resonance, Jilin, Kina.
Steen, K. A., Grooters, K., Høilund, C., Rasmussen, J.
, Nyholm Jørgensen, R., Dyrmann, M. & Green, O. (2018).
Automated Weed Intensity Mapping. I G. K. P.W.G. , C. Lokhorst, A. H. Ipema, C. Kempenaar, C. M. Groenestein , C. G. van Oostrum & N. J. Ros (red.),
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (s. 109). Wageningen University.
https://doi.org/10.18174/471678
Larsen, D.
, Skovsen, S., Steen, K. A., Grooters, K.
, Eriksen, J., Green, O.
& Nyholm Jørgensen, R. (2018).
Autonomous Mapping of Grass-Clover Ratio Based on Unmanned Aerial Vehicles and Convolutional Neural Networks. I
Proceedings of the 14th International Conference on Precision Agriculture Artikel 5107 International Society of Precision Agriculture.
https://www.ispag.org/proceedings/?action=download&item=5107
Christiansen, M. P., Laursen, M. S., Feld Mikkelsen, B.
, Nyholm Jørgensen, R., Teimouri, N. & Sørensen, C. A. G. (2018).
Current potentials and challenges using Sentinel-1 for broadacre field remote sensing. I
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (s. 56). Wageningen University.
https://doi.org/10.18174/471678
Madsen, S. L., Dyrmann, M., Laursen, M. S., Mathiassen, S. K. & Nyholm Jørgensen, R. (2018).
Data Acquisition Platform for Collecting High-Quality Images of Cultivated Weed. I P. W. G. Groot Koerkamp, C. Lokhorst , A. H. Ipema, C. Kempenaar, C. M. Groenestein, C. van Oostrum & N. Ros (red.),
Proceedings of the European Conference on Agricultural Engineering: AgEng2018 (s. 360-369). Wageningen University.
https://doi.org/10.18174/471679
Malekian, R., Curran, K.
, Pedersen, C. F., Cao, B. & Qi, X. (2018).
Guest Editorial Special Issue on Sensor Technologies for Connected Cars: Devices, Systems and Modeling.
IEEE Sensors Journal,
18(12), 4775-4776.
https://doi.org/10.1109/JSEN.2018.2830478
Steen, K. A., Delebasse, S., Grooters, K., Høilund, C.
, Dyrmann, M., Skovsen, S., Nyholm Jørgensen, R. & Green, O. (2018).
In-field Potato Diseases Detection. I P. W. G. Groot Koerkamp, C. Lokhorst, A. H. Ipema, C. Kempenaar, C. M. Groenestein, C. G. van Oostrum & N. J. Ros (red.),
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (s. 111). Wageningen University.
https://doi.org/10.18174/471678
Fu, C.
, Sarabakha, A., Kayacan, E., Wagner, C., John, R. & Garibaldi, J. M. (2018).
Input Uncertainty Sensitivity Enhanced Non-Singleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor VTOL UAVs.
IEEE - ASME Transactions on Mechatronics,
23(2), 725-734.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304792
Korthals, T.
, Kragh, M. F., Christiansen, P., Karstoft, H., Nyholm Jørgensen, R. & Rückert, U. (2018).
Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation.
Frontiers in Robotics and AI,
5(MAR), Artikel 28.
https://doi.org/10.3389/frobt.2018.00028