Integrating Generative Artificial Intelligence in Intelligent Vehicle
  Systems
Lukas Stappen Jeremy Dillmann Serena Striegel Hans-Jörg Vögel Nicolas Flores-Herr Björn W. Schuller
This paper aims to serve as a comprehensive guide for researchers and
practitioners, offering insights into the current state, potential
applications, and future research directions for generative artificial
intelligence and foundation models within the context of intelligent vehicles.
As the automotive industry progressively integrates AI, generative artificial
intelligence technologies hold the potential to revolutionize user
interactions, delivering more immersive, intuitive, and personalised in-car
experiences. We provide an overview of current applications of generative
artificial intelligence in the automotive domain, emphasizing speech, audio,
vision, and multimodal interactions. We subsequently outline critical future
research areas, including domain adaptability, alignment, multimodal
integration and others, as well as, address the challenges and risks associated
with ethics. By fostering collaboration and addressing these research areas,
generative artificial intelligence can unlock its full potential, transforming
the driving experience and shaping the future of intelligent vehicles.