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2023
Conference Paper
Title

Integrating Generative Artificial Intelligence in Intelligent Vehicle Systems

Abstract
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 with, 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, multi-modal 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.
Author(s)
Stappen, Lukas
Bavarian Motor Works Group
Dillmann, Jeremy
Bavarian Motor Works Group
Striegel, Serena S.
Bavarian Motor Works Group
Vogel, Hans Jörg
Bavarian Motor Works Group
Flores-Herr, Nicolas  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Schuller, Björn W.
Imperial College London
Mainwork
IEEE Conference on Intelligent Transportation Systems Proceedings ITSC
Conference
26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
DOI
10.1109/ITSC57777.2023.10422003
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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