Integrating Generative Artificial Intelligence in Intelligent Vehicle
Systems
- URL: http://arxiv.org/abs/2305.17137v1
- Date: Mon, 15 May 2023 09:09:40 GMT
- Title: Integrating Generative Artificial Intelligence in Intelligent Vehicle
Systems
- Authors: Lukas Stappen, Jeremy Dillmann, Serena Striegel, Hans-J\"org V\"ogel,
Nicolas Flores-Herr, Bj\"orn W. Schuller
- Abstract summary: As the automotive industry progressively integrates AI, generative artificial intelligence technologies hold the potential to revolutionize user interactions.
We provide an overview of current applications of generative artificial intelligence in the automotive domain, emphasizing speech, audio, vision, and multimodal interactions.
We outline critical future research areas, including domain adaptability, alignment, multimodal integration and others, as well as, address the challenges and risks associated with ethics.
- Score: 4.724940029079736
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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, 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.
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