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Department of Electrical and Computer Engineering

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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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

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. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. http://conferences.au.dk/uploads/tx_powermail/2016cigr_-_multi-modal_obstacle_detection_and_evaluation_of_evidence_grid_mapping_in_agriculture.pdf

Asif, M. R., Qi, C., Hussain, S. & Sadiq Fareed, M. (2016). Multiple License Plate Detection for Chinese Vehicles in Dense Traffic Scenarios. IET Intelligent Transport Systems, 10(8). https://doi.org/10.1049/iet-its

Rehman, N. U., Naveed, K., Ehsan, S. & McDonald-Maier, K. (2016). Multi-scale image denoising based on goodness of fit (GOF) tests. In 2016 24th European Signal Processing Conference (EUSIPCO) IEEE. https://doi.org/10.1109/eusipco.2016.7760508

Mehndiratta, M. & Kayacan, E. (2016). Numerical Investigation of Gaussian Filters with a Combined Type Bayesian Filter for Nonlinear State Estimation. In IFAC-PapersOnLine (18 ed., Vol. 49, pp. 446-453). Elsevier. https://doi.org/10.1016/j.ifacol.2016.10.206

Fu, C., Duan, R., Kircali, D. & Kayacan, E. (2016). Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model. Sensors, 16(9), Article 1406. https://doi.org/10.3390/s16091406

Hassan, S., Ahmadieh Khanesar, M., Kayacan, E., jaafar, J. & Khosravi, A. (2016). Optimal design of adaptive type-2 neuro-fuzzy systems: A review. Applied Soft Computing, 44, 134-143. https://doi.org/10.1016/j.asoc.2016.03.023

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

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. Paper presented at 2016 AES International Conference on Sound Field Control, Guildford, United Kingdom. https://secure.aes.org/forum/pubs/conferences/?elib=18305

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

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. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. http://conferences.au.dk/uploads/tx_powermail/cigr2016paper_semanticsegmentation.pdf

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

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

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

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.

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. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. 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

Duan, R., Fu, C., Kayacan, E. & Pani Paudel, D. (2016). Recommended Keypoint-Aware Tracker: Adaptive Real-time Visual Tracking Using Consensus Feature Prior Ranking. In 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (pp. 449-453). Article 7532397 IEEE. https://doi.org/10.1109/ICIP.2016.7532397

Duan, R., Fu, C. & Kayacan, E. (2016). Recoverable Recommended Keypoint-aware Visual Tracking Using Coupled-layer Appearance Modelling. In IROS 2016 - 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 4085-4091). Article 7759601 IEEE. https://doi.org/10.1109/IROS.2016.7759601

Kayacan, E. & Ahmadieh Khanesar, M. (2016). Recurrent Interval Type-2 Fuzzy Control of 2-DOF Helicopter With Finite Time Training Algorithm. In IFAC-PapersOnLine (13 ed., Vol. 49, pp. 293-299). Elsevier. https://doi.org/10.1016/j.ifacol.2016.07.977

Nyholm Jørgensen, R. (2016). RoboWeedSupport Præsentation og status ano 02SEP2016. Pictures, Video and sound recordings (digital) https://youtu.be/tiGtGArXOHw

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

Dong, Y., Fu, C. & Kayacan, E. (2016). RRT-based 3D Path Planning for Formation Landing of Quadrotor. In 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 (pp. 1-6). Article 7838567 IEEE . https://doi.org/10.1109/ICARCV.2016.7838567

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

Mortensen, A. K., Dyrmann, M., Karstoft, H., Nyholm Jørgensen, R. & Gislum, R. (2016). Semantic Segmentation of Mixed Crops using Deep Convolutional Neural Network. Paper presented at CIGR 2016, World Congress. http://conferences.au.dk/uploads/tx_powermail/biomap_-_cigr_2016_-_paper_-_final.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. In A. Campilho, A. Campilho & F. Karray (Eds.), Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings: Proceedings of 13th International Conference ICIAR in Memory of Mohamed Kamel (Vol. 9730, pp. 451-461). Springer. https://doi.org/10.1007/978-3-319-41501-7_51

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

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. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. http://conferences.au.dk/uploads/tx_powermail/2016cigr-towardsautomousplantproductionusingfullyconvolutionalneuralnetworks.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. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark.

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. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark. http://conferences.au.dk/uploads/tx_powermail/2016_cigr_towards_uav_contour_flight_over_agricultural_fields.pdf

Sarabakha, A., Fu, C., Kayacan, E. & Kumbasar, T. (2016). Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment in Real-Time for Quadcopter UAVs. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=Hz3f8N-30dg

Green, O., Edwards, G. T. C., Jæger, C. D., Steen, K. A., Christiansen, P., Dyrmann, M. & Nyholm Jørgensen, R. (2016). Udviklingen inden for præcisionsjordbrug og tilknyttet udstyr. In Plantekongres 2016 (pp. 250-251). Article 66 https://www.landbrugsinfo.dk/Planteavl/Plantekongres/Filer/pl_plk2016_res_66_2_Ole_Green.pdf

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

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), Article 6. https://doi.org/10.3390/jimaging2010006

Sarabakha, A. & Kayacan, E. (2016). Y6 tricopter autonomous evacuation in an Indoor Environment using Q-learning algorithm. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016 (pp. 5992-5997). Article 7799189 IEEE . https://doi.org/10.1109/CDC.2016.7799189

Camci, E. & Kayacan, E. (2016). Y6 Waitress Quadcopter Explores How To Serve Drinks By Reinforcement Learning. In 2016 IEEE Region 10 Conference (TENCON) (pp. 28-32)

Christiansen, P., Hansen, M. K., Steen, K. A., Karstoft, H. & Nyholm Jørgensen, R. (2015). Advanced sensor platform for human detection and protection in autonomous farming. In J. V. Stafford (Ed.), Precision agriculture '15: Papers presented at the 10th European Conference on Precision Agriculture (Vol. 2015, pp. 291-298). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_35

Abdullah, S. M. U., Rehman, N. U., Khan, M. M. & Mandic, D. P. (2015). A Multivariate Empirical Mode DecompositionBased Approach to Pansharpening. IEEE Transactions on Geoscience and Remote Sensing, 53(7), 3974-3984. https://doi.org/10.1109/tgrs.2015.2388497

Steen, K. A., Therkildsen, O. R., Karstoft, H. & Green, O. (2015). An adaptive scaring device. International Journal of Sustainable Agricultural Management and Informatics, 1(2), 130-141. https://doi.org/10.1504/IJSAMI.2015.070746

Ravelo, B., Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Memon, M., Mathiesen, M. & Jastrzebski , A. (2015). Analysis of a Healthcare Platform RF Emission in Indoor Environment. In Proceedings of the IEEE International Symposium on Electromagnetic Compatibility and EMC Europe: EMC 2015 (pp. 1495-1500). IEEE.

Beevi, F. H. A., Miranda, J., Pedersen, C. F. & Wagner, S. R. (2015). An Evaluation of Commercial Pedometers for Monitoring Slow Walking Speed Populations. Telemedicine and e-Health, 22(5). https://doi.org/10.1089/tmj.2015.0120

Guruge, P., Bahadir Kocer, B. & Kayacan, E. (2015). A Novel Automatic UAV Launcher Design by Using Bluetooth Low Energy Integrated Electromagnetic Releasing System. In Humanitarian Technology Conference (R10-HTC), 2015 IEEE Region 10 (pp. 1-4). IEEE. https://doi.org/10.1109/R10-HTC.2015.7391861

Liu, L., Chen, I.-M., Kayacan, E., Kong Tiong, L. & Maruvanchery, V. (2015). Automated Construction Quality Assessment: A review. In Mechatronics and its Applications (ISMA), 2015 10th International Symposium on (pp. 1-6). IEEE. https://doi.org/10.1109/ISMA.2015.7373459

Mortensen, A. K., Karstoft, H., Nyholm Jørgensen, R., Larsen, R., Jørgensen, J. R. & Gislum, R. (2015). BioMap - Mapping of Biomass using UAV. http://dce-conference.au.dk/fileadmin/dce-conference.au.dk/Abstracts15/28_Mortensen.pdf

Bäckström, T., Pedersen, C. F., Fischer, J., Hüttenberger, M. & Alfonso, P. (2015). Concept for Encoding of Information. (Patent No. EP20140158396).

Ahmadieh Khanesar, M. & Kayacan, E. (2015). Controlling the Pitch and Yaw Angles of a 2-DOF Helicopter Using Interval Type-2 Fuzzy Neural Networks. In X. Yu & M. Önder Efe (Eds.), Recent Advances in Sliding Modes: From Control to Intelligent Mechatronics (pp. 349 - 370). Springer. https://doi.org/10.1007/978-3-319-18290-2

Rasmussen, S., Nyboe, N. S., Mai, S. S. & Larsen, J. J. (2015). Deconvolution of AEM Data via Analytically Described System Responses. In First European Airborne Electromagnetics Conference (Vol. 2015). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201413882

Larsen, J. J. & Auken, E. (2015). Despiking of magnetic resonance sounding signals. Paper presented at The 6th International Workshop on Magnetic Resonance, Aarhus , Denmark. http://hgg.au.dk/fileadmin/www.dna18.au.dk/MRS2015_program.pdf

Steen, K. A., Therkildsen, O. R., Green , O. & Karstoft, H. (2015). Detection of Bird Nests during Mechanical Weeding by Incremental Background Modeling and Visual Saliency. Sensors, 15(3), 5096-5111. https://doi.org/10.3390/s150305096

Fiandaca, G., Olsson, P.-I., Auken, E., Larsen, J. J., Maurya, P. K. & Dahlin, T. (2015). Doubling the Spectrum of Time-Domain Induced Polarization: Removal of Harmonic Noise and Self-Potential Drift. Abstract from AGU Fall Meeting 2015, San Fransisco, United States. https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/75469

Rehman, N., Ehsan, S., Naveed, K., McDonald-Maier, K. D. & Safdar, M. W. (2015). Dynamically sampled multivariate empirical mode decomposition. Electronics Letters, 51(24), 2049-2051. https://doi.org/10.1049/el.2015.1176

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