Publications by Signal Processing & Machine Learning

Are you looking for publications by Section of Signal Processing & Machine Learning? On this page you can find all the publications made by the Section of Signal Processing & Machine Learning - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Sørensen, R. A., Skovsen, S., Christiansen, P. & Karstoft, H. (2017). Embedded Visual Perception for Autonomous Agricultural Machines Using Lightweight Convolutional Neural Networks. International Journal of Agricultural and Biosystems Engineering, 11(4), 1296. Artikel 63060. https://www.waset.org/abstracts/63060

Laursen, M. S., Nyholm Jørgensen, R., Skov Midtiby, H., Mortensen, A. K. & Santhome, S. (2017). Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops: Statistical Evaluation of the Potential Herbicide Savings. International Journal of Agricultural and Biosystems Engineering, 11(4), 1285. https://www.waset.org/abstracts/62424

Laursen, M. S., Nyholm Jørgensen, R., Dyrmann, M. & Poulsen, R. (2017). RoboWeedSupport - Sub Millimeter Weed Image Acquisition in Cereal Crops with Speeds up till 50 Km/h. International Journal of Agricultural and Biosystems Engineering, 11(4), 311-315. http://waset.org/publications/10007027/roboweedsupport-sub-millimeter-weed-image-acquisition-in-cereal-crops-with-speeds-up-till-50-km-h

Olsson, P.-I., Fiandaca, G., Larsen, J. J., Dahlin, T. & Auken, E. (2016). Doubling the spectrum of time-domain induced polarization: removal of non-linear self-potential drift, harmonic noise and spikes, tapered gating, and uncertainty estimation. Abstract fra IP2016 - 4th International Workshop on Induced Polarization, Aarhus , Danmark.

Gislum, R. & Nyholm Jørgensen, R. (2016). Pilotprojekt vedr. billedanalyse på golfbaner med henblik på reduktion i pesticidforbruget og implementering af IPM.

Fiandaca, G., Olsson, P. I., Larsen, J. J., Dahlin, T. & Auken, E. (2016). Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift/spike removal and tapered gating. I 22nd European Meeting of Environmental and Engineering Geophysics, Near Surface Geoscience 2016 European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.201602021

Christiansen, P., Kragh, M. F., Steen, K. A., Karstoft, H. & Nyholm Jørgensen, R. (2017). Platform for evaluating sensors and human detection in autonomous mowing operations. Precision Agriculture, 18(3), 350-365. https://doi.org/10.1007/s11119-017-9497-6

Nyholm Jørgensen, R., Madsen, S. L. & Laursen, M. S. (2016). RoboWeedSupport - Weed Mapping with drones using a DJI Matrice 100 with a Velodyne Lidar.. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=91LaKHiHiDw

Rasmussen, S., Skovgaard Nyboe, N. & Larsen, J. J. (2016). Extraction and Use of Noise Models from Production-Mode Transient Electromagnetic Data. Abstract fra AGU Fall Meeting 2016, San Francisco, California, USA. https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/168217

Hein, A., Larsen, J. J. & D. Parsekian, A. (2017). Symmetry based frequency domain processing to remove harmonic noise from surface nuclear magnetic resonance measurements. Geophysical Journal International, 208(2), 724-736. https://doi.org/10.1093/gji/ggw433

Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Ravelo, B., Memon, M. & Mathiesen, M. (2016). An Open Platform for Seamless Sensor Support in Healthcare for the Internet of Things. Sensors, 16(12), Artikel 2089. https://doi.org/10.3390/s16122089

Larsen, P. G., Kristiansen, E. L., Bennedsen, J. & Bjerge, K. (2017). Enhancing non-technical skills by a multidisciplinary engineering summer school. European Journal of Engineering Education, 42(6), 1076-1096. https://doi.org/10.1080/03043797.2016.1261278

Kragh, M. F., Bjerge, K. & Ahrendt, P. (2016). 3D impurity inspection of cylindrical transparent containers. Measurement Science and Technology, 28(1), Artikel 017002 . https://doi.org/10.1088/1361-6501/28/1/017002

Nyholm Jørgensen, R. (2013). Aarhus University looking for Wild Life Roe Deers with FLIR mounted UAV Sky-Watch in front of Mower. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=TrZpP23UBFE&nomobile=1

Nyholm Jørgensen, R. (2016). OptiMek Temadag - En fremtid med droner i landbruget. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=vZii3S9QP_s&feature=youtu.be

Jensen, T., Karstoft, H., Green, O. & Munkholm, L. J. (2017). Assessing the effect of the seedbed cultivator leveling tines on soil surface properties using laser range scanners. Soil & Tillage Research, 167(April), 54-60. https://doi.org/10.1016/j.still.2016.11.006

Sridharan, K. S., Højlund, A., Sunde, N., Johnsen, E. L., Johansen, L. G., Beniczky, S. & Østergaard, K. (2016). How do treatments affect somatosensory processing in Parkinson's disease - A MEG study. Poster-session præsenteret på PhD Day 2016, Aarhus, Danmark.

Sridharan, K. S., Johnsen, E. L., Beniczky, S., Johansen, L. G., Sunde, N. & Østergaard, K. (2015). Studying somatosensory function in Parkinson’s disease using Magnetoencephalography. Poster-session præsenteret på PhD day 2015, Aarhus University, Danmark.

Sridharan, K. S., Johnsen, E. L., Nielsen, A. H., Beniczky, S., Johansen, L. G., Sunde, N. & Østergaard, K. (2015). Effect of deep brain stimulation (DBS) and medication on somatosensory function in Parkinson’s disease (PD). Poster-session præsenteret på Nordic Congress of Clinical Neurophysiology, Helsingør, Danmark.

Christiansen, P., N. Nielsen, L., A. Steen, K., Nyholm Jørgensen, R. & Karstoft, H. (2016). DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field. Sensors, 16(11), Artikel 1904. https://doi.org/10.3390/s16111904

Laursen, M. S., Nyholm Jørgensen, R., Midtiby, H. S., Jensen, K., Christiansen, M. P., Giselsson, T. M., Mortensen, A. K. & Jensen, P. K. (2016). Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops. Sensors, 16(11), Artikel 1848. https://doi.org/10.3390/s16111848

Dyrmann, M., Karstoft, H. & Midtiby, H. S. (2016). Plant species classification using deep convolutional neural network. Biosystems Engineering, 151(November), 72-80. https://doi.org/10.1016/j.biosystemseng.2016.08.024

Christiansen, M. P., Larsen, P. G. & Nyholm Jørgensen, R. (2016). Agricultural robotic candidate overview using co-model driven development. I A. G. Bruzzone, S. Junco, G. Dauphin-Tanguy & Y. Merkuryev (red.), 9th International Conference on Integrated Modeling and Analysis in Applied Control and Automation, IMAACA 2016: IMAACA 2016 (s. 41-48). Artikel IMAACA_10 Dime University of Genoa. https://www.msc-les.org/proceedings/imaaca/2016/IMAACA2016_41.pdf

Jeppesen, J. H., Jacobsen, R. H., Nyholm Jørgensen, R. & Toftegaard, T. S. (2016). Towards Data-Driven Precision Agriculture using Open Data and Open Source Software. Afhandling præsenteret på International Conference on Agricultural Engineering 2016, Aarhus, Danmark.

Ma, X., J. Hegarty, P., Abildgaard Pedersen, J., Johansen, L. G. & Larsen, J. J. (2016). Personal Sound Zones: The significance of loudspeaker driver nonlinear distortion. Afhandling præsenteret på 2016 AES International Conference on Sound Field Control, Guildford, Storbritannien. https://secure.aes.org/forum/pubs/conferences/?elib=18305

Laursen, M. S., Larsen, R., Jensen, K. & Nyholm Jørgensen, R. (2016). CIGR2016 Talk - Real time back projection onto prerecorded DHM surface of UAV recorded images with RTK GPS and IMU. Billeder, Video- og Lydoptagelser (digital) https://www.youtube.com/watch?v=j34nctK7D60

Olsson, P.-I., Fiandaca, G., Larsen, J. J., Dahlin, T. & Auken, E. (2016). Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift correction, spike removal, tapered gating and data uncertainty estimation. Geophysical Journal International, 207(2), 774-784. Artikel ggw260. https://doi.org/10.1093/gji/ggw260

Grombacher, D. J., Larsen, J. J. & Auken, E. (2016). Potential for Square Wave Transmitters in Surface NMR. I Near Surface Geoscience 2016: 22nd European Meeting of Environmental and Engineering Geophysics (Bind 2016). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201602008

Larsen, J. J. (2016). Despiking of Surface-NMR Data Using a Model-based Approach. I Near Surface Geoscience 2016 : 22nd European Meeting of Environmental and Engineering Geophysics (Bind 2016). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201602068

Larsen, J. J. & Behroozmand, A. A. (2016). Processing of surface-nuclear magnetic resonance data from sites with high noise levels. Geophysics, 81(4), WB75-WB83. https://doi.org/10.1190/geo2015-0441.1

Larsen, J. J. (2016). Model-based subtraction of spikes from surface nuclear magnetic resonance data. Geophysics, 81(4), WB1-WB8. https://doi.org/10.1190/geo2015-0442.1

Jensen, T., Green, O., Munkholm, L. J. & Karstoft, H. (2016). Fourier and granulometry methods on 3D images of soil surfaces for evaluating soil aggregate size distribution. American Society of Agricultural and Biological Engineers. Transactions, 32(5), 609-615. https://doi.org/10.13031/aea.32.10938

Nyholm Jørgensen, R. (2016). RoboWeedSupport Præsentation og status ano 02SEP2016. Billeder, Video- og Lydoptagelser (digital) https://youtu.be/tiGtGArXOHw

Mortensen, A. K., Dyrmann, M., Karstoft, H., Nyholm Jørgensen, R. & Gislum, R. (2016). Semantic Segmentation of Mixed Crops using Deep Convolutional Neural Network. Afhandling præsenteret på CIGR 2016, World Congress. http://conferences.au.dk/uploads/tx_powermail/biomap_-_cigr_2016_-_paper_-_final.pdf

Dyrmann, M., Mortensen, A. K., Midtiby, H. S. & Nyholm Jørgensen, R. (2016). Pixel-wise classification of weeds and crops in images by using a Fully Convolutional neural network. Afhandling præsenteret på International Conference on Agricultural Engineering 2016, Aarhus, Danmark. http://conferences.au.dk/uploads/tx_powermail/cigr2016paper_semanticsegmentation.pdf

Dyrmann, M., Midtiby, H. S. & Nyholm Jørgensen, R. (2016). Evaluation of intra variability between annotators of weed species in color images. Afhandling præsenteret på International Conference on Agricultural Engineering 2016, Aarhus, Danmark. http://conferences.au.dk/uploads/tx_powermail/cigr2016paper_annotation.pdf

Wagner, S. R., Beevi, F. H. A., Pedersen, C. F., Miranda, J., Cabral, J. & Ravelo, B. (2016). Evaluation of Caregivers' First Time Use of a Seamless Deployment Platform. I Proceedings of the International Conference on E-Health, EH 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016 (s. 59-66). IADIS.

Jensen, K., Laursen, M. S., M. Neerup, M., Skriver, M., Larsen, R. & Nyholm Jørgensen, R. (2016). Towards UAV contour flight over agricultural fields using RTK-GNSS and a Digital Elevation Model. Afhandling præsenteret på International Conference on Agricultural Engineering 2016, Aarhus, Danmark. http://conferences.au.dk/uploads/tx_powermail/2016_cigr_towards_uav_contour_flight_over_agricultural_fields.pdf

Laursen, M. S., Larsen, R., Jensen, K. & Nyholm Jørgensen, R. (2016). Real time back projection onto prerecorded DHM surface of UAV recorded images with RTK GPS and IMU. Afhandling præsenteret på International Conference on Agricultural Engineering 2016, Aarhus, Danmark. http://conferences.au.dk/uploads/tx_powermail/2016cigr_real__time__back__projection__onto_prerecorded_dhm_surface_of_uav_recorded_images_with_rtk_gps_and_imu.pdf

Suvei, S.-D., Bodenhagen, L., Kiforenko, L., Christiansen, P., Nyholm Jørgensen, R., Buch, A. G. & Krüger, N. (2016). Stereo and active-sensor data fusion for improved stereo block matching. I A. Campilho, A. Campilho & F. Karray (red.), Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings: Proceedings of 13th International Conference ICIAR in Memory of Mohamed Kamel (Bind 9730, s. 451-461). Springer. https://doi.org/10.1007/978-3-319-41501-7_51

Hansen, M. K., Christiansen, P., Korthals, T., Jungeblut, T., Karstoft, H. & Nyholm Jørgensen, R. (2016). Multi-modal Obstacle Detection and Evaluation of Occupancy Grid Mapping in Agriculture. Afhandling præsenteret på International Conference on Agricultural Engineering 2016, Aarhus, Danmark. http://conferences.au.dk/uploads/tx_powermail/2016cigr_-_multi-modal_obstacle_detection_and_evaluation_of_evidence_grid_mapping_in_agriculture.pdf

Christiansen, P., Sørensen, R., Skovsen, S., Jæger, C. D., Nyholm Jørgensen, R., Karstoft, H. & Steen, K. A. (2016). Towards Autonomous Plant Production using Fully Convolutional Neural Networks. Afhandling præsenteret på International Conference on Agricultural Engineering 2016, Aarhus, Danmark. http://conferences.au.dk/uploads/tx_powermail/2016cigr-towardsautomousplantproductionusingfullyconvolutionalneuralnetworks.pdf

Hansen, M. K., Underwood, J. & Karstoft, H. (2016). Self-supervised Traversability Assessment in Field Environments with Lidar and Camera. Poster-session præsenteret på International Conference on Agricultural Engineering 2016, Aarhus, Danmark.

Pedersen, C. F. (2016). Total Variation Optimization for Compressed Sensing Image Reconstruction. Faculty of Engineering and Science, Dept. of Computer Science, Aalborg University.

Miranda, J., Memon, M., Cabral, J., Ravelo, B., Wagner, S. R., Pedersen, C. F., Mathiesen, M. & Nielsen, C. (2017). Eye on Patient Care: Continuous Health Monitoring: Design and Implementation of a Wireless Platform for Healthcare Applications. IEEE Microwave Magazine, 18(2), 83-94. Artikel 7843732. https://doi.org/10.1109/MMM.2016.2635898

Jensen, T. & Karstoft, H. (2014). Intelligent Soil Tillage. Abstract fra AGROMEK and NJF Joint Seminar on Future Arable Farming and Agricultural Engineering, Herning, Danmark.

Beevi, F. H. A., Wagner, S. R., Pedersen, C. F. & Hallerstede, S. (2016). Data Quality Oriented Efficacy Evaluation Method for Ambient Assisted Living Technologies. I PervasiveHealth 2016 - 10th EAI International Conference on Pervasive Computing Technologies for Healthcare Association for Computing Machinery. https://doi.org/10.4108/eai.16-5-2016.2263753

Midtiby, H. S., Åstrand, B., Jørgensen, O. & Jørgensen, R. N. (2016). Upper limit for context-based crop classification in robotic weeding applications. Biosystems Engineering, 146, 183-192. https://doi.org/10.1016/j.biosystemseng.2016.01.012

Ravelo, B., Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Memon, M. & Mathiesen, M. (2016, mar. 24). Radiated EMC Characterization of Common Recognition and Identification Platform for E-Healthcare.

Steen, K. A., Christiansen, P., Karstoft, H. & Nyholm Jørgensen, R. (2016). Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture. Journal of Imaging, 2(1), Artikel 6. https://doi.org/10.3390/jimaging2010006

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