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.
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.
