Exploration of the intelligent control system of autonomous vehicles based on edge computing.

ABSTRACT: The development of science and technology continues to promote the progress of society. The current intelligence and automation technology has become widely used in society. To this end, this study proposes a vehicle intelligent control system based on edge computing and deep learning to promote the far-reaching development of intelligent technology and automation technology. First, control algorithms are used to design a switch control strategy combining accelerator and brake. Second, a fuzzy control algorithm based on vehicle tracking and trajectory deviation is designed to enhance the vehicle's stability during steering. A Convolutional Neural Network (CNN) is used to recognize the car's surroundings as it drives. In addition, accelerator and brake controllers and vehicle tracking and t

SUBMITTER: Ming G 

PROVIDER: S-EPMC9894409 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature