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 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 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 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
- User journey: “Lisa’s way to work day 2” (pdf)
- User journey: “Anke picks up son from soccer” (pdf)
- 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: +49 172 65 9 0 51
Press material
A press kit will be published here promptly, consisting of the standard presentation on the project, a digital version of the factsheet, and general press information, e.g. relevant image material, etc.
Press review
Selected contributions to the KARLI project
Archive Press releases
Here you can find all departmental releases published so far