TY - CHAP A1 - Ebner, Markus A1 - Fetzer, Toni A1 - Bullmann, Markus A1 - Kastner, Steffen A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - PIPF: Proposal-Interpolating Particle Filter T2 - International Conference on Indoor Positioning and Indoor Navigation (IPIN 2022) Y1 - 2022 UR - https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9918102 ER - TY - JOUR A1 - Kastner, Steffen A1 - Ebner, Markus A1 - Bullmann, Markus A1 - Fetzer, Toni A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - Magnetic Signature Sensor Model for Accurate Short-Distance Localization JF - 2022 IEEE Sensors Y1 - 2022 U6 - https://doi.org/10.1109/SENSORS52175.2022.9967176 SP - 1 EP - 4 ER - TY - JOUR A1 - Fetzer, Toni A1 - Maier, Julian A1 - Ebner, Markus A1 - Bullmann, Markus A1 - Deinzer, Frank T1 - Digitales Spaghetti-Diagramm zur Laufweganalyse JF - wt Werkstattstechnik online Y1 - 2022 VL - 112 IS - 10/2022 SP - 727 EP - 731 ER - TY - JOUR A1 - Bullmann, Markus A1 - Fetzer, Toni A1 - Ebner, Frank A1 - Ebner, Markus A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios JF - Sensors Y1 - 2020 U6 - https://doi.org/10.3390/s20164515 SN - 1424-8220 VL - 20 IS - 16 ER - TY - CHAP A1 - Kastner, Steffen A1 - Bullmann, Markus A1 - Ebner, Markus A1 - Fetzer, Toni A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - Refinement of Sparsely Tagged Ground Truth Paths Using PDR and Particle Filter Smoothing T2 - 2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN) Y1 - 2024 U6 - https://doi.org/https://doi.org/10.1109/IPIN62893.2024.10786186 SP - 1 EP - 6 PB - IEEE ER - TY - CHAP A1 - Kastner, Steffen A1 - Ebner, Markus A1 - Bullmann, Markus A1 - Fetzer, Toni A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - SIMUL: Synchronized IMU Dataset of Walking People at Six Body Locations T2 - 2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN) Y1 - 2023 U6 - https://doi.org/https://doi.org/10.1109/IPIN57070.2023.10332491 SP - 1 EP - 7 PB - IEEE ER - TY - CHAP A1 - Fetzer, Toni A1 - Bullmann, Markus A1 - Ebner, Markus A1 - Kastner, Steffen A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - Interacting Multiple Model Particle Filter for Indoor Positioning Applications T2 - Proceedings of the 2023 International Technical Meeting of The Institute of Navigation Y1 - 2023 UR - https://www.researchgate.net/profile/Toni-Fetzer/publication/368485764_Interacting_Multiple_Model_Particle_Filter_for_Indoor_Positioning_Applications/links/63fa3e960d98a97717b975ae/Interacting-Multiple-Model-Particle-Filter-for-Indoor-Positioning-Applications.pdf ER - TY - JOUR A1 - Werner, Max A1 - Bullmann, Markus A1 - Fetzer, Toni A1 - Deinzer, Frank T1 - Unified Probabilistic and Similarity-Based Position Estimation from Radio Observations JF - Sensors N2 - We propose a modeling approach for position estimation based on the observed radio propagation in an environment. The approach is purely similarity-based and therefore free of explicit physical assumptions. What distinguishes it from classical related methods are probabilistic position estimates. Instead of just providing a point estimate for a given signal sequence, our model returns the distribution of possible positions as continuous probability density function, which allows for appropriate integration into recursive state estimation systems. The estimation procedure starts by using a kernel to compare incoming data with reference recordings from known positions. Based on the obtained similarities, weights are assigned to the reference positions. An arbitrarily chosen density estimation method is then applied given this assignment. Thus, a continuous representation of the distribution of possible positions in the environment is provided. We apply the solution in a Particle Filter (PF) system for smartphone-based indoor localization. The approach is tested both with radio signal strength (RSS) measurements (Wi-Fi and Bluetooth Low Energy RSSI) and round-trip time (RTT) measurements, given by Wi-Fi Fine Timing Measurement. Compared to distance-based models, which are dedicated to the specific physical properties of each measurement type, our similarity-based model achieved overall higher accuracy at tracking pedestrians under realistic conditions. Since it does not explicitly consider the physics of radio propagation, the proposed model has also been shown to work flexibly with either RSS or RTT observations. Y1 - 2025 U6 - https://doi.org/https://doi.org/10.3390/s25134092 SN - 1424-8220 VL - 25 IS - 13 PB - MDPI AG ER - TY - CHAP A1 - Werner, Max A1 - Bullmann, Markus A1 - Fetzer, Toni A1 - Meißner, Pascal A1 - Deinzer, Frank T1 - Interpolation of Position Estimates for Radio Fingerprinting using Gaussian Process Regression T2 - 2025 International Conference on Indoor Positioning and Indoor Navigation (IPIN) Y1 - 2025 U6 - https://doi.org/10.1109/IPIN66788.2025.11213294 SP - 1 EP - 6 PB - IEEE ER - TY - JOUR A1 - Prappacher, Nico A1 - Bullmann, Markus A1 - Bohn, Gunther A1 - Deinzer, Frank A1 - Linke, Andreas T1 - Defect Detection on Rolling Element Surface Scans Using Neural Image Segmentation JF - Applied Sciences Y1 - 2020 U6 - https://doi.org/10.3390/app10093290 SN - 2076-3417 VL - 10 IS - 9 ER - TY - CHAP A1 - Bullmann, Markus A1 - Fetzer, Toni A1 - Ebner, Frank A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - Fast Kernel Density Estimation Using Gaussian Filter Approximation T2 - 21st International Conference on Information Fusion, FUSION 2018, Cambridge, UK, July 10-13, 2018 Y1 - 2018 U6 - https://doi.org/10.23919/ICIF.2018.8455686 SP - 1233 EP - 1240 ER - TY - JOUR A1 - Fetzer, Toni A1 - Ebner, Frank A1 - Bullmann, Markus A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - Smartphone-Based Indoor Localization within a 13th Century Historic Building JF - Sensors Y1 - 2018 U6 - https://doi.org/10.3390/s18124095 SN - 1424-8220 VL - 18 IS - 12 ER - TY - CHAP A1 - Fetzer, Toni A1 - Bullmann, Markus A1 - Kastner, Steffen A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - Advancing Smartphone-based Indoor Positioning through Particle Distribution Optimization T2 - 2024 27th International Conference on Information Fusion (FUSION) Y1 - 2024 U6 - https://doi.org/https://doi.org/10.23919/FUSION59988.2024.10706408 SP - 1 EP - 8 PB - IEEE ER -