The KARLI Subprojects

The KARLI project consists of
8 subprojects

Extensive networking within the subprojects ensures that activities are closely interlinked, that development is iterative, and that information is exchanged between the subprojects.


Division of the research project

The work items are described in the work packages and sub-work packages as follows.

100: Theory Building

In the context of theory building, the basic aspects of appropriate theories on driver-vehicle models as well as the selection of appropriate scenarios and use cases for data collection will be elaborated.

200: Database AI Algorithms

With the help of the creation of an AI data collection concept and test designs, surveys in real vehicles as well as continuous data quality assurance and processing, AI functions for sensors installed in the future are to be developed.

300: Level Compliant Behavior

Recognizing and monitoring safety-critical situations pose challenges. The development of level-compliant behavior is intended to support drivers in monotonous driving phases.

400: AI-Interaction

Intelligent driving of the future requires the development of AI systems that are capable of triggering interactions in the vehicle in a person- and context-sensitive manner. This AI-driven interaction contributes greatly to road safety, takeover quality and user experience in the vehicle.

500: Motion Sickness

Motion sickness is a problem that mainly affects passengers. A large number of influencing factors can also affect drivers individually during phases of ride-along in an automated vehicle. The goal is therefore to develop AI (artificial intelligence) algorithms and MMI (human-machine interface) that are able to detect motion sickness on a situation-specific basis and reduce its occurrence.

600: AI-System

To enable agile development, system and software architectures are being developed for four test vehicles and a central cloud-based data processing architecture is being created.

700: Evaluation & Demonstration

Within the project, both the performance of the AI algorithms and the effect on the user experience play a role. The final evaluation and demonstration will determine to what extent the defined goals of the developed applications have been achieved.

800: Project Management

 The dissemination of results serves to make the project visible and to lead to an exchange with both the expert community and society. For this purpose, the results are published in a scientific format and disseminated through the media.  

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News & publications of the consortium partners

Report abstract: Display of Artificial Intelligence in the Vehicle HMI

The KARLI AI-MMI (Artificial Intelligence of Human-Machine Interaction) work package focuses on the question of how the use of AI will affect the appearance of an MMI. This is also the subject of the report “Display of Artificial Intelligence in the Vehicle HMI” by Dr.-Ing Peter Rössger. Read the summary here.

UX concepts for the vehicle of the future. KARLI & HdM.

The focus of the Stuttgart Media University (HdM) in the KARLI project is on the evaluation and development of user-centered AI solutions for automated driving vehicles. The goal is to combine a high level of safety with a successful user experience (UX).

Developing AI-driven in-vehicle interaction. KARLI & Audi.

Within KARLI, Audi is working on AI-based interactions in the vehicle with regard to person- and context-sensitivity. The goal is for the human-machine interface to behave adaptively based on the user and system state of the individual operating history.