Downloads
Public Information
On this page, we will make the following information publicly available
as the project progresses:
Publications
Presentations
Information material
Publications
- KARLI Poster (pdf) and KARLI Paper (external Link) (both created for the Human-Computer Interaction “HCI” International Conference 2022)
- Technical paper: Gaussian-base runtime detection of out-of-distribution inputs for neural networks by Vahid Hashemi et al.
- Abstract: Modified Multiple Resource Model for multi-modal HMIs in automated driving (by Anne Pagenkopf, Miriam Schweiker, Marlis Fleischmann, and Prof. Dr. Arnd Engeln)
- Technical paper: Backdoor Mitigation in Deep Neural Networks via Strategic Retraining (by Akshay Dhonthi, Ernst Moritz Hahn, and Vahid Hashemi)
- Paper (German): Display of Artificial Intelligence in the vehicle HMI (by Dr.-Ing. Peter Rössger)
- Paper (German): HMI adaptation through artificial intelligence (by Dr.-Ing. Peter Rössger)
- Whitepaper: Event driven cloud-based architecture for Data Centric AI development (by Dr. Marc Großerüschkamp, and Mina Khosravifard)
- Technical paper: AGNES: Abstraction-guided Framework for Deep Neural Networks Security (by Akshay Dhonthi, Marcello Eiermann, Ernst Moritz Hahn, and Vahid Hashemi)
- Article: What Will Visual Assistant of AV Look Like? AEM Magazine, South Korea (with Dr.-Ing. Peter Rössger, studiokurbos, et al.)
- Blog post (only in German): Anwendungsfälle für die Fahrzeuginnenraumerfassung: Sicherheit, Komfort und gesetzliche Anforderungen im Blick, Fraunhofer IOSB Blog (by Dr.-Ing. Michael Voit)
- Technical paper (only in English): Development and qualitative evaluation of new concepts to promote level-compliant driver behavior in automated driving (by Nuria Brüggemann, Sebastian Preis, Anne Pagenkopf and Prof. Dr. Arnd Engeln)
- Study (only in German): Ergebnisse Nutzerstudie 02 – Iconverständlichkeit und Übergaben (by Dr.-Ing. Peter Rössger)
- Technical paper (only in English): Generating Proactive Suggestions based on the Context: User Evaluation of Large Language Model Outputs for In-Vehicle Voice Assistants (by Lesley-Ann Mathis, Can Günes, David Lerch, Kathleen Entz, Dr. Frederik Diederichs and Harald Widlroither)
- Pressrelease: Interaction with autonomous driving: How drivers and cars understand each other (Fraunhofer IOSB); published in:
- DVN (Chinese)
- Gasgoo (Chinese)
- Technical Paper (only available in English): How to Support Level-Compliant Driver Behaviour in Automated Driving with Optimized User Experience? (written by Nuria Brüggemann, Sebastian Preis, Anne Pagenkopf, and Prof. Dr. Arnd Engeln)
Presentations
- Official KARLI Project Presentation (German)
- Computer Vision in the KARLI Project (Presentation held by Dr. Frederik Diederichs at the European Conference for Computer Vision 2022)
Information
- Infographic: KARLI Personas (pdf)
- KARLI user roles (in the context of automated driving) – German only
Mit dem Laden des Videos akzeptieren Sie die Datenschutzerklärung von YouTube.
Mehr erfahren
- User journey: “Lisa’s way to work day 2” (pdf)
Mit dem Laden des Videos akzeptieren Sie die Datenschutzerklärung von YouTube.
Mehr erfahren
- User journey: “Anke picks up son from soccer” (pdf)
Mit dem Laden des Videos akzeptieren Sie die Datenschutzerklärung von YouTube.
Mehr erfahren
- User journey: “Matthias’ longer drive to customer appointment in Magdeburg” (pdf)
You need more information?
The KARLI project office will be happy to assist you.
Press
Press contact
KARLI project office / INVENSITY GmbH
Email: projektbuero@invensity.com
Telephone: +49 611 504 754 0
