Project overview

At a Glance

Smart, Adaptive and Learning Systems for All

The SALSA (Smart, Adaptive and Learning Systems for All) project aims to improve the acceptance and safety of automated vehicle systems in mixed traffic. It deals with the challenges arising from the interaction between automated and manually controlled vehicles and other road users such as pedestrians and cyclists. The focus is on the development of adaptive systems that enable seamless, safe and comprehensible interaction both within the vehicle and with other road users.

A central focus is on detecting the mental and physical state of the user in real time in order to minimize risks and to make the handover between automated and manual driving safe. In addition, user studies and simulations are used to analyze specific requirements and conflicts in mixed traffic. Based on this, SALSA develops flexible operating concepts and intuitive human-machine interfaces (HMIs) that take into account both the vehicle interior and exterior and enable clear communication between the vehicle, driver and other road users.

To increase acceptance, a dynamic, adaptable driving behavior is being developed that is legally compliant, safe and understandable. Prototypes and demonstrators implement the concepts and enable comprehensive testing of user-friendliness, safety and compliance with legal requirements. The aim is to create technologies that are not only efficient and safe, but also user-friendly and suitable for everyday use, in order to facilitate the integration of automated vehicles into traffic in the long term.

Subprojects

Division of the research project

The optimal linking of content is achieved by dividing the work content into work packages and sub-work packages. With this, there is a constant exchange of information, thus promoting a close interlinking of activities.