Machine Learning Assisted Autonomous Vehicle in an IoT Environment

Abstract

The article presents the design of a controlled autonomous vehicle intended to perform specific job functions for impaired people by integrating Machine learning technique in an IoT environment along with hand-controlled gestures. In this paper, a novel multi-control autonomous vehicle is specially designed to cater the needs of disabled patients and senior citizens. The operation of this vehicle is fully motorized and gesture-controlled which involves physical implementation of hardware device with software for integrating, coding, interfacing and testing. This Machine learning based autonomous vehicle is completely designed with sensors and interactive cameras controlled by a smart processor unit that can control the various tasks which are designed to perform for the physically impaired people.