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Work in progress: Robotics mapping of landmine and UXO contaminated areas.
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Weed Growth Stage Estimator Using Deep Convolutional Neural Networks.
Sensors,
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Weed classification using explainable multi-resolution slot attention.
Sensors,
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Vildtforvaltning i forbindelse med biomassehøst i ådale: Bedre forhold for vildtet og færre påkørsler.
Dobbs, A. M., Ginn, D.
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Using structure-from-motion to estimate cover crop biomass and characterize canopy structure.
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Using illumination changes to synchronize eye tracking in visual paradigms. In G. Plantier, T. Schlutz, A. Fred & H. Gamboa (Eds.),
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Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields. Abstract from International Conference on Precision Agriculture, Montréal, Quebec, Canada.
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Towards UAV contour flight over agricultural fields using RTK-GNSS and a Digital Elevation Model. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark.
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Towards Autonomous Plant Production using Fully Convolutional Neural Networks. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark.
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Towards an Open Software Platform for Field Robots in Precision Agriculture.
Robotics,
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Three-dimensional radiation pattern measurement strategy for ground station antennas.
International Journal of Satellite Communications and Networking,
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The potential of using robotics in data acquisition from multiple sensors.
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The Physiological Significance of the Tmax Parameter in Bolus Tracking MRI. Abstract from ISMRM 14th Annual Meeting, Seattle, United States.
Skovsen, S., Dyrmann, M., Mortensen, A. K., Laursen, M. S.
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The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. Dataset
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The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. Poster session presented at IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, California, United States.
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