The Organic Integration of Autonomous Driving, Internet of Things and Intelligent Mechanical Equipment

Abstract

Building a comprehensive collaborative system integrating autonomous driving, Internet of Things (IoT), and intelligent mechanical equipment to achieve a closed-loop interaction of "perception - decision-making - execution - feedback", this approach aims to overcome the limitations of individual technologies in complex scenarios and establish a reusable cross-domain collaboration model. This will provide efficient, safe, and green intelligent solutions for smart industries, agriculture, infrastructure, and other fields. This research focuses on the organic integration of autonomous driving, IoT, and intelligent mechanical equipment, discussing the integration of single, dual, and multiple directions. It reviews relevant literature from the past five years, summarizes the convergence points in autonomous driving and IoT, the compatibility between IoT and intelligent mechanical equipment, and the connection points between autonomous driving and intelligent mechanical equipment. It analyzes the current research status in these fields and proposes a comprehensive road map for better realization and completion of the perception-decision-execution process, as well as a vision for the future development of this area. The goal is to comprehensively summarize existing articles and build upon the achievements of previous researchers to think towards higher goals.