Publications
- 2022
- 512.G. Maus and D. Brückmann, "Indoor-Lokalisierung mit Bluetooth 5.1 -- Grundlagen, Ergebnisse und ein Blick auf die Algorithmik" in Elektronik, WEKA Fachmedien, Haar, Apr. 2022, pp. 63--69.
- 511.G. Maus and D. Brückmann, "Bluetooth 5.1 Based Indoor Localization -- Performance Results and Insights" in Embedded World Conference 2022, Jun. 2022.
ISBN: 978-3-645-50194-1
- 510.A. Bauer, J. Oberbossel, S. Sander and A. Kummert, "WUP-CD: Towards 2.5D Data for Deep Learning Building Change Detection" in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 219-222.
- 509.M. Braun, M. Luszek, M. Meuter, D. Spata, K. Kollek and A. Kummert, "Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time" in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3200--3206.
- 508.K. Kollek, M. Braun, J. Meusener and A. Kummert, "Real-Time Traffic Counting on Resource Constrained Embedded Systems" in 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS), 2022, pp. 1-4.
- 507.F. Hasecke, M. Alsfasser and A. Kummert, "What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation" in 2022 IEEE Intelligent Vehicles Symposium (IV), 2022, pp. 594-599.
- 506.M. Schäfer, K. Zhao, M. Bühren and A. Kummert, "Context-Aware Scene Prediction Network (CASPNet)" in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3970-3977.
- 505.F. Ghorban, N. Hasan, J. Velten and A. Kummert, "Individual Weighting of Unlabeled Data Points via Confidence-Awareness in Semi-Supervised Learning" in 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 1215-1219.
- 2021
- 504.J. Schmitz, A. Bauer and A. Kummert, "Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing" in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021, pp. 558--563.
- 503.J. Cao, H. Dai, B. Lei, C. Yin, H. Zeng and A. Kummert, "Maximum Correntropy Criterion-Based Hierarchical One-Class Classification", IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 8, pp. 3748-3754, 2021.
- 502.E. Abdo-Sanchez, A. Agrawal, S. Ahmed, K. Alhassoon, F. Alimenti, N. Almuqati, P. Angeletti, S. Anlage, M. Ansari, G. Ariturk, M. Asad, P. Asbeck, Y. Aslan, V. Ataloglou, J. Balzer, J. Bandler, J. Bardin, J. Barowski, T. Barton, S. Bastioli and A. Batra,2021 Index IEEE Journal of Microwaves Vol., 2021.
- 501.J. Schorlemer, C. Schulz, N. Pohl, I. Rolfes and J. Barowski, "Compensation of sensor movements in short-range FMCW synthetic aperture radar algorithms", IEEE Transactions on Microwave Theory and Techniques, vol. 69, no. 11, pp. 5145—5159, 2021. Institute of Electrical and Electronics Engineers (IEEE).
- 500.M. Elsaadouny, J. Barowski and I. Rolfes, "ConvNet Fine-Tuning Investigation for GPR Images Classification" in 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), IEEE, 2021, pp. 1—4.
- 499.M. Elsaadouny, J. Barowski and I. Rolfes, "Unsupervised learning implementation for SAR images clustering" in 2021 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, 2021, pp. 104—104.
- 498.J. Schorlemer, K. Kolpatzeck, J. C. Balzer, A. Czylwik, I. Rolfes and J. Barowski, "Efficient frequency domain sampling schemes for THz SAR systems" in 2021 Fourth International Workshop on Mobile Terahertz Systems (IWMTS), IEEE, 2021, pp. 1—5.
- 497.F. Kamutzki, S. Schneider, J. Barowski, A. Gurlo and D. A. H. Hanaor, "Silicate dielectric ceramics for millimetre wave applications", Journal of the European Ceramic Society, vol. 41, no. 7, pp. 3879—3894, 2021. Elsevier BV.
- 496.F. Sheikh, Y. Zantah, I. Ben Mabrouk, M. Alissa, J. Barowski, I. Rolfes and T. Kaiser, "Scattering and roughness analysis of indoor materials at frequencies from 750 GHz to 1.1 THz", IEEE Transactions on Antennas and Propagation, vol. 69, no. 11, pp. 7820—7829, 2021. Institute of Electrical and Electronics Engineers (IEEE).
- 495.A. Batra, J. Barowski, D. Damyanov, M. Wiemeler, I. Rolfes, T. Schultze, J. C. Balzer, D. Göhringer and T. Kaiser, "Short-range SAR imaging from GHz to THz waves", IEEE Journal of Microwaves, vol. 1, no. 2, pp. 574—585, 2021. Institute of Electrical and Electronics Engineers (IEEE).
- 494.J. Jebramcik, J. Wagner, N. Pohl, I. Rolfes and J. Barowski, "Millimeter wave material measurements for building entry loss models above 100 GHz" in 2021 15th European Conference on Antennas and Propagation (EuCAP), IEEE, 2021, pp. 1—5.
- 493.O. Garten, C. Statz, S. Gerling, J. Jebramcik, J. Barowski, D. Plettemeier and I. Rolfes, "Considering nonsurface scattering in physical optics approximations", IEEE Transactions on Antennas and Propagation, vol. 69, no. 8, pp. 4798—4807, 2021. Institute of Electrical and Electronics Engineers (IEEE).
- 492.L. Schmitt, P. Schmitt, J. Barowski and M. Hoffmann, "Stepwise electrostatic actuator system for THz reflect arrays" in ACTUATOR; International Conference and Exhibition on New Actuator Systems and Applications 2021, VDE, 2021, pp. 1—4.
- 491.J. Jebramcik, I. Rolfes and J. Barowski, "Aperture synthesis method to investigate on the reflection properties of typical road surfaces" in 2020 50th European Microwave Conference (EuMC), IEEE, 2021, pp. 634—637.
- 490.M. H. Hassan, B. Sievert, J. T. Svejda, A. M. Ahmed, J. Barowski, A. Rennings, I. Rolfes, A. Sezgin and D. Erni, "Beam divergence reduction of vortex waves with a tailored lens and a tailored reflector", IEEE Access, vol. 9, pp. 9800—9811, 2021. Institute of Electrical and Electronics Engineers (IEEE).
- 489.K. Kollek, M. A. Aguilar, M. Braun and A. Kummert, "Improving Neural Network Architecture Compression by Multi-Grain Pruning" in 2021 IEEE International Conference on Progress in Informatics and Computing (PIC), 2021, pp. 6--13.
- 488.M. Braun, M. Luszek, J. Siegemund, K. Kollek and A. Kummert, "Quantification of Uncertainties in Deep Learning-based Environment Perception" in 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), 2021, pp. 1--8.