Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)

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Publikationen (Download BibTeX)

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Kalisz, A., Particke, F., Penk, D., Hiller, M., & Thielecke, J. (2019). B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender. In SciTePress (Eds.), Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP (pp. 816-823). Prag, Tschechische Republik, CZ.
Kharboutli, A.A., Hiller, M., Particke, F., Nowak, T., Hartmann, M., & Thielecke, J. (2019). Efficient Localization Using Radio-Based Sensors and Odometry. In Proceedings of the 3rd IEEE International Conference on Robotic Computing, IRC 2019 (pp. 240-245). Institute of Electrical and Electronics Engineers Inc..
Particke, F., Kalisz, A., Hofmann, C., Hiller, M., Bey, H., & Thielecke, J. (2018). Systematic Analysis of Direct Sparse Odometry. In IEEE (Eds.), 2018 Digital Image Computing: Techniques and Applications (DICTA) (pp. 1-6). Canberra, Australia, AU.
Duda, N., Nowak, T., Hartmann, M., Schadhauser, M., Cassens, B., Wägemann, P.,... Kölpin, A. (2018). BATS: Adaptive Ultra Low Power Sensor Network for Animal Tracking. Sensors. https://dx.doi.org/10.3390/s18103343
Nowak, T., Hartmann, M., Thielecke, J., Hadachik, N., & Mutschler, C. (2018). Super-Resolution in RSS-based Direction-of-Arrival Estimation. In IEEE (Eds.), . Nantes, FR.
Pittner, M., Hiller, M., Particke, F., Patino-Studencki, L., & Thielecke, J. (2018). Systematic Analysis of Global and Local Planners for Optimal Trajectory Planning. München, DE: VDE.
Particke, F., Hofmann, C., Hiller, M., Feist, C., & Thielecke, J. (2018). Entropy-Based Intention Change Detection with a Multi-Hypotheses Filter. In IEEE (Eds.), 2018 21st International Conference on Information Fusion (FUSION) (pp. 610-616). Cambridge, UK, GB: IEEE.
Nowak, T., Hartmann, M., & Thielecke, J. (2018). Unified performance measures in network localization. Eurasip Journal on Advances in Signal Processing, 48(Network Localization), 1-17. https://dx.doi.org/10.1186/s13634-018-0570-8
Particke, F., Hofmann, C., Hiller, M., Patino-Studencki, L., & Thielecke, J. (2018). Stochastic Modeling of Camera Errors for Stereo Image Processing. Montreal, CA.
Particke, F., Hiller, M., Feist, C., & Thielecke, J. (2018). Improvements in Pedestrian Movement Prediction by Considering Multiple Intentions in a Multi-Hypotheses Filter. Monterey, US.
Nowak, T., Hartmann, M., & Thielecke, J. (2018). Simultaneous Position and Channel Parameter Estimation Applying Adaptive Kalman Filters. In 2018 11th German Microwave Conference (GeMiC) (pp. 115-118). Freiburg, Germany.
Hartmann, M., Nowak, T., Robert, J., Thielecke, J., & Heuberger, A. (2018). Improved localization method in a WSN by using frequency diversity and a channel model. In 2018 11th German Microwave Conference (GeMiC) (pp. 119-122). Freiburg, DE.
Tollkuehn, A., Particke, F., & Thielecke, J. (2018). Gaussian State Estimation with Non-Gaussian Measurement Noise. In 2018 SYMPOSIUM ON SENSOR DATA FUSION: TRENDS, SOLUTIONS, APPLICATIONS (SDF). Bonn, GERMANY, DE: NEW YORK: IEEE.
Hiller, M., Particke, F., Hofmann, C., Bey, H., & Thielecke, J. (2018). World Modeling for Mobile Platforms Using a Contextual Object-Based Representation of the Environment. In IEEE (Eds.), Proceedings of the 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) (pp. 187-191). Tianjin, China.
Dieterle, T., Particke, F., Patino-Studencki, L., & Thielecke, J. (2017). Sensor data fusion of LIDAR with stereo RGB-D camera for object tracking. In 2017 IEEE SENSORS (pp. 1-3). Glasgow, GB.
Hiller, M., Particke, F., Patino-Studencki, L., & Thielecke, J. (2017). Incorporating building information to globalize and robustify grid-based indoor SLAM. In 2017 17th International Conference on Control, Automation and Systems (ICCAS) (pp. 1872-1877). Jeju, KR.
Particke, F., Hiller, M., Patino-Studencki, L., Sippl, C., Feist, C., & Thielecke, J. (2017). Multiple intention tracking by a generalized potential field approach. In 2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF) (pp. 1-5). Bonn.
Particke, F., Hiller, M., Patino-Studencki, L., Thielecke, J., Sippl, C., & Feist, C. (2017). Improvements in Pedestrian Tracking by a Generalized Potential Field Approach. München, DE.
Particke, F., Schmidt, A., Rügheimer, C., & Mahr, T. (2017). Additive random sampling for radar signal processing. In 2017 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC) (pp. 93-96). Verona, IT.
Particke, F., Kolbenschlag, R., Hiller, M., Patino-Studencki, L., & Thielecke, J. (2017). Deep Learning for Real-Time Capable Object Detection and Localization on Mobile Platforms. (pp. 012005). Hawaii, US.

Zuletzt aktualisiert 2019-24-04 um 10:30