Prof. Dr. Ute Bauer-Wersing - FIS@fra-uas - Frankfurt University of Applied Sciences

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Prof. Dr. Ute Bauer-Wersing

Research Interest:

Künstliche Intelligenz
Maschinelles Lernen
Computer Vision
Autonome Systeme

Projects

10/2018 - 09/2021

Unsupervised Learning of Hierarchical Features for Visual Self-Localization and Navigation in Seasonally Changing Outdoor Environments

01/2017 - 12/2019

Efficient human-machine interaction for cooperative learning of shared categories

12/2013 - 01/2018

Visual Self Localization

Publications

1 of 3

2020

SFA-based vs. Structure-based visual localization: Experimental comparison in an unstructured outdoor environment
Haris, Muhammad; Franzius, Mathias
Conference proceeding

2020

Unsupervised Learning of Metric Representations with Slow Features from Omnidirectional Views
Franzius, Mathias; Metka, Benjamin; Haris, Muhammad
Conference proceeding

2019

Robust Outdoor Self-localization In Changing Environments
Haris, Muhammad; Franzius, Mathias
Conference proceeding

2019

Unsupervised learning of metric representations from slow features
Franzius, Mathias; Metka, Benjamin
Patent

2018

Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis
Metka, Benjamin; Franzius, Mathias
Journal article

2018

Interactive Incremental Online Learning of Objects Onboard of a Cooperative Autonomous Mobile Robot
Hasler, Stephan; Kreger, Jennifer
Conference proceeding

2018

Navigation system based on slow feature gradients
Franzius, Mathias; Metka, Benjamin
Patent

2018

Robot Navigation on Slow Feature Gradients.
Haris, Muhammad; Franzius, Mathias
Conference proceeding

2017

A Priori Reliability Prediction with Meta-Learning Based on Context Information
Kreger, Jennifer; Fischer, Lydia; Hasler, Stephan; Weisswange, Thomas H.
Conference proceeding

2017

Condition Invariant Visual Localization Using Slow Feature Analysis
Haris, Muhammad; Metka, Benjamin; Franzius, Mathias
Conference proceeding