In recent decades, autonomous have been equipped with a multitude of autonomous technologies, such as collision avoidance, adaptive cruise control, and highway patrol. Multi-agent Cyber-Physical Systems (CPS) can benefit from intelligent decision-making, coordination, and resource optimization thanks to fog computing and AI. In this paper, we will discuss current autonomous research and propose algorithms for decision making for autonomous vehicles. The implementation of AI fog computing in CPS enables internal appliances and smart systems to communicate information with their environment autonomously or as part of a more complex, integrated CPS. In the context of autonomous vehicles, this technology facilitates intelligent decision-making and coordination. This study aims to develop an architecture design framework for applying AI computing to develop new features and services for autonomous vehicles in CPS world.

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Integrated AI Architecture and Fog Computing for Cyber-Physical Systems Autonomous Vehicles

  • Lamees R. Al-Jaburi,
  • Olusolade Aribake Fadare,
  • Fadi Al-Turjman

摘要

In recent decades, autonomous have been equipped with a multitude of autonomous technologies, such as collision avoidance, adaptive cruise control, and highway patrol. Multi-agent Cyber-Physical Systems (CPS) can benefit from intelligent decision-making, coordination, and resource optimization thanks to fog computing and AI. In this paper, we will discuss current autonomous research and propose algorithms for decision making for autonomous vehicles. The implementation of AI fog computing in CPS enables internal appliances and smart systems to communicate information with their environment autonomously or as part of a more complex, integrated CPS. In the context of autonomous vehicles, this technology facilitates intelligent decision-making and coordination. This study aims to develop an architecture design framework for applying AI computing to develop new features and services for autonomous vehicles in CPS world.