Type: Conference Paper
Title: L5IN+: From an Analytical Platform to Optimization of Deep Inertial Odometry
Authors: Shoushtari, Hossein 
Kassawat, Firas
Harder, Dorian 
Venzke, Korvin
Müller-Lietzkow, Jörg 
Sternberg, Harald 
Source: IPIN-WiP 2022 : Indoor Positioning and Indoor Navigation - Work-in-Progress Papers 2022
Issue Date: 2022
Keywords: Indoor Localization; 5G Simulation; 5G Correction; Deep Neural Networks; Kalman Filter; Smartphone
Abstract: 
Fifth generation of mobile communications (5G) and Deep Neural Networks (DNN) are two important technologies, which will enable new functions in the field of indoor positioning. This could be seen as the second major development after the innovation of smartphones, as a GNSS/INS alternative for indoor, location based applications. Optimization methods which work as a corrector, and as the uncertai...
Subject Class (DDC): 004: Informatik
HCU-Faculty: Hydrographie und Geodäsie 
Ökonomie und Digitalisierung 
Publisher: CEUR-WS
Part of Series: CEUR workshop proceedings 
Volume number: 3248
URN (Citation Link): urn:nbn:de:gbv:1373-repos-10729
Directlink: https://repos.hcu-hamburg.de/handle/hcu/843
Language: English
Creative Commons License: https://creativecommons.org/licenses/by/4.0/
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