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• Published Subscription Review Article 27 Dec 2024

  Multimodal Generative AI for Vehicular Applications at Edge

  By Sundaresan Poovalingam, Bhoomi Shah, Rani Malhotra, Nikhil Nandanwar

  Abstract: This paper explores how the rapid advancements in vehicular technology, including autonomous driving and intelligent transportation systems, have driven the need for real-time data processing and decision-making. Multimodal generative AI, when deployed at the edge, offers a powerful solution for vehicular applications by leveraging diverse data sources such as video, audio, sensor inputs, and environmental data. This paper explores the integration of multimodal generative AI with edge computing in vehicular …

  Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 27–34 Read article →