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 - JOUR A1 - Köpping, Lukas A1 - Ebner, Frank A1 - Grzegorzek, Marcin A1 - Deinzer, Frank T1 - Indoor localization using step and turn detection together with floor map information JF - FHWS science journal N2 - In this work we present a method to estimate an indoor position with the help of smartphone sensors and without any knowledge of absolute positioning systems like Wi-Fi signals. Our system uses particle filtering to solve the recursive state estimation problem of finding the position of a pedestrian. We show how to integrate the information of the previous state into the weight update step and how the observation data can help within the state transition model. High positional accuracy can be achieved by only knowing that the pedestrian makes a foot step or changes her direction together with floor map information. KW - particle filter KW - step detection KW - turn detection Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:863-opus-976 VL - 2 (2014) IS - 1 SP - 40 EP - 49 ER - TY - CHAP A1 - Ebner, Frank A1 - Deinzer, Frank A1 - Koping, Lukas A1 - Grzegorzek, Marcin T1 - Robust self-localization using Wi-Fi, step/turn-detection and recursive density estimation T2 - International Conference on Indoor Positioning and Indoor Navigation (IPIN 2014) Y1 - 2014 U6 - https://doi.org/10.1109/IPIN.2014.7275537 SP - 627 EP - 635 ER - TY - CHAP A1 - Ebner, Frank A1 - Fetzer, Toni A1 - Köping, Lukas A1 - Grzegorzek, Marcin A1 - Deinzer, Frank T1 - Multi Sensor 3D Indoor Localisation T2 - International Conference on Indoor Positioning and Indoor Navigation (IPIN 2015) Y1 - 2015 UR - https://ieeexplore.ieee.org/iel7/7336693/7346746/07346772.pdf SP - 1 EP - 11 ER - TY - JOUR A1 - Torres-Sospedra, Joaquín A1 - Jiménez, Antonio R. A1 - Knauth, Stefan A1 - Moreira, Adriano A1 - Beer, Yair A1 - Fetzer, Toni A1 - Ta, Viet-Cuong A1 - Montoliu, Raul A1 - Seco, Fernando A1 - Mendoza-Silva, Germán M. A1 - Belmonte, Oscar A1 - Koukofikis, Athanasios A1 - Nicolau, Maria João A1 - Costa, António A1 - Meneses, Filipe A1 - Ebner, Frank A1 - Deinzer, Frank A1 - Vaufreydaz, Dominique A1 - Dao, Trung-Kien A1 - Castelli, Eric T1 - The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work JF - Sensors Y1 - 2017 U6 - https://doi.org/10.3390/s17030557 SN - 1424-8220 VL - 17 IS - 3 ER - TY - JOUR A1 - Ebner, Frank A1 - Fetzer, Toni A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - On Wi-Fi Model Optimizations for Smartphone-Based Indoor Localization JF - ISPRS International Journal of Geo-Information Y1 - 2017 U6 - https://doi.org/10.3390/ijgi6080233 SN - 2220-9964 VL - 6 IS - 8 ER - TY - JOUR A1 - Fetzer, Toni A1 - Ebner, Frank A1 - Deinzer, Frank A1 - Grzegorzek, Marcin T1 - Using Barometer for Floor Assignation within Statistical Indoor Localization JF - Sensors Y1 - 2023 U6 - https://doi.org/10.3390/s23010080 SN - 1424-8220 VL - 23 IS - 1 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 - JOUR A1 - Ebner, Frank A1 - Schneider, Volker T1 - Analysis of web data compression and its impact on traffic and energy consumption JF - FHWS Science Journal N2 - While connection speeds are increasing slowly, some ISPs mention plans about possible traffic limitations in the near future which would keep internet traffic expensive. In addition, Green IT became more important especially over the last few years. Besides on-demand content like video live streams, HTTP traffic plays an important role. Thinking of textual web content, compression quickly comes to mind as a possibility to reduce traffic. The current HTTP/1.1 standard only provides gzip as an option for content encoding. HTTP/2.0 is under heavy development and numerous new algorithms have been established over the last few years. This paper analyzes HTTP traffic composition on a production server and concludes that about 50% is compressible. It further examines the effectiveness of custom and existing algorithms with regards to compression ratio, speed, and energy consumption. Our results show that gzip is a sound choice for web traffic but alternatives like LZ4 are faster and provide competitive compression ratios. Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:863-opus-428 VL - 1 IS - 2 SP - 7 EP - 24 CY - Würzburg ER -