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Owli-AI Research

Research

This section connects research strands, projects, publications and demonstrators in accessible STEM education, assistive computer vision and digital participation.

Research strands

Three strands connect research, prototypes and transfer

Owli-AI groups its work around recurring research questions rather than presenting isolated solutions. Projects, publications and demonstrators build on one another.

  1. 01

    Accessible STEM education

    Semantic interpretation of visual teaching content and multimodal output as text, audio or tactile representations – from the Pattern Collection to the funded IncluLearn.AI project.

    IncluLearn.AI Pattern Collection

  2. 02

    Assistive computer vision & mobility

    Pedestrian-centered scene annotation, segmentation and acoustic guidance form a research strand from scientific datasets to the experimental Way-Buddy demonstrator.

    ECCV workshop contribution Way-Buddy

  3. 03

    Apps, demonstrators & transfer

    Research results are translated into small, testable systems. Apps and demonstrators support evaluation, user feedback and transfer into real-world use.

    Apps & demonstrators Participate & feedback

Research development

From bachelor's thesis to ECCV and the Innovation Prize

Justine Buss's work illustrates how a thesis can develop into a published research contribution and a visible result for Owli-AI.

  1. 1 / 3

    Bachelor's thesis

    The starting point was Justine's bachelor's thesis on assistive computer vision and pedestrian-centered scene annotation.

  2. 2 / 3

    ECCV Workshops 2026

    The results were developed into the workshop contribution “Open-Vocabulary Annotation for Pedestrian Scene Understanding under Domain Shift”.

  3. 3 / 3

    Karl-Heinz Lust Innovation Prize

    On 1 October 2026, the bachelor's thesis received the THM Karl-Heinz Lust Innovation Prize.

View ECCV publication View Justine in the team

Projects

All projects

  1. IncluLearn.AI – AI-Assisted Generation of Accessible STEM Teaching Materials

    IncluLearn.AI develops an AI-assisted process that semantically interprets complex visual STEM content and generates accessible text, audio, and tactile representations from it.

    Funded research and transfer project

    Open the IncluLearn.AI project website

  2. AHRUS Audible High Resolution Ultrasonic Sonar

    AHRUS is an electronic guide-dog concept that supports echolocation through audible ultrasound. The system aims to make obstacles and structures perceivable earlier without replacing natural spatial perception with headphones.

    Prototype

Publications

All publications

Published: 5.

  1. A Pattern Collection for Generating Accessible Teaching Materials for Blind and Visually Impaired Students in Computer Science and Electrical Engineering

    Pattern Languages of Programs, People and Practices (EuroPLoP 2025), LNCS 16494, Springer (2026) - Paper

    Diethelm Bienhaus; Michael Kreutzer

  2. Open-Vocabulary Annotation for Pedestrian Scene Understanding under Domain Shift

    ECCV 2026 Workshops · ACVR & CDEL (2026) - Workshop contribution

    Justine Buss; Michael Kreutzer; Seyed Eghbal Ghobadi

  3. A Framework for Developing Modular Mobility Aids for People with Visual Impairment: An Indoor Navigation Use Case

    (2023) - Paper

    Florian von Zabiensky; Grigory Fridman; Oguz Ozdemir; Sebastian Reuter; Michael Kreutzer; Diethelm Bienhaus

  4. An Electronic Guide Dog for the Blind based on Artificial Neural Networks

    (2021) - Paper

    S. Lopatin; F. v. Zabiensky; M. Kreutzer; K. Rinn; D. Bienhaus

  5. Ultrasonic Waves to Support Human Echolocation

    HCII (2018) - Paper

    Florian von Zabiensky; Michael Kreutzer; Diethelm Bienhaus

Audio summaries

Research in audio form

These AI-generated audio summaries from NotebookLM make research projects and publications easier to access in audio form. Additional songs are available on the same page.

View Podcasts & Audio