Recurrent Neuronal Networks (RNNs) for Real-Time Estimation of Nonlinear Motion Models (RuNN)

Third party funded individual grant


Acronym: RuNN

Start date : 01.10.2017

End date : 31.03.2021

Website: https://www2.cs.fau.de/research/RuNN/


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes (2022) Kram S, Kraus C, Feigl T, Stahlke M, Robert J, Mutschler C Other publication type Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App (2021) Meyer S, Windisch T, Perl A, Dzibela D, Marzilger R, Witt N, Benzler J, et al. Conference contribution, Conference Contribution Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning (2021) Altstidl TR, Kram S, Herrmann O, Stahlke M, Feigl T, Mutschler C Conference contribution, Conference Contribution Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models (2021) Feigl T, Eberlein E, Kram S Conference contribution, Conference Contribution Datengetriebene Methoden zur Bestimmung von Position und Orientierung in funk‐ und trägheitsbasierter Koppelnavigation (2021) Feigl T Thesis Estimating TOA Reliability with Variational Autoencoders (2021) Stahlke M, Kram S, Ott F, Feigl T, Mutschler C Journal article, Original article Real-Time Gait Reconstruction for Virtual Reality Using a Single Sensor (2020) Feigl T, Gruner L, Mutschler C, Roth D Conference contribution, Conference Contribution A Sense of Quality for Augmented Reality Assisted Process Guidance (2020) Redzepagic A, Löffler C, Feigl T, Mutschler C Conference contribution, Conference Contribution RNN-aided Human Velocity Estimation from a Single IMU (2020) Feigl T, Kram S, Woller P, Siddiqui RH, Philippsen M, Mutschler C Journal article, Original article ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization (2020) Ott F, Feigl T, Löffler C, Mutschler C Conference contribution, Conference Contribution
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