Mid-Term Event
February 12, 2026 | Stuttgart
What progress has the SALSA consortium made halfway through the project? What contributions have the individual project partners made? And what still needs to be implemented before the project is completed?
Take a look at the event documentation in the form of presentations, posters, and photos.
Overview
SALSA addresses the challenges arising from the interaction between automated and conventional vehicles and other road users such as pedestrians and cyclists. The development of adaptive systems is intended to enable seamless and secure communication both within the vehicle and between the vehicle and its surroundings in order to promote confidence in automated technologies and thus also increase road safety and acceptance. In February 2026, they presented the current project progress as part of the mid-term event.
Event Highlights
Blog
Neuigkeiten
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How do automated cars communicate with drivers, passengers, and their surroundings? How can road safety be improved? Initial results presented from the SALSA research project
We presented our initial findings: 14 partners from industry and research are developing concepts for automated driving. The focus is on secure communication between the vehicle, occupants, and the environment, as well as greater road safety and user acceptance.
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Smart, adaptive, learning – the new human-machine interaction in vehicles
Smart, adaptive, learning – the vehicle is becoming a living space. Automated systems take over tasks, while smart displays and controls dynamically adapt to the user and context. In the SALSA project, we are developing adaptive, morphing concepts for cars and trucks that increase comfort and safety, create sustainable interiors and provide a personalized user…
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Acceptance of automated vehicles in mixed traffic
Studies in driving simulators are used to examine driver intentions and desired driving behavior with the aim of identifying confident, predictable driving behavior. Minimal risk maneuvers and compliant behavior are also analyzed to increase acceptance and safety. The projects aim to increase the acceptance of automated vehicles in mixed traffic.