The Study of Utilization of Machine Learning in the Automobile Sector

Abstract

Numerous businesses and institutions are involved in the study, design, manufacture, and sale of automobiles; they are all part of the Automotive Sector. In terms of market capitalization, the automobile industry is among the top five most profitable in the world. Businesses in the car business and those closely related to it are the ones who really get to put wheels on the road. Most of the parts are included in this, including the engine and body, but not the wheels, batteries, or gas. The automotive industry has worldwide influence and significance notwithstanding the problem of excess capacity and poor profitability. The automotive industry is vital to global trade and production. More than half of the world's oil consumption is attributable to the production of about 60 million automobiles and light trucks annually. Self-driving capabilities, in-car Wi-Fi and navigation systems, parking assistance, programmable computers, energy- saving features, night-vision aid, all-around cameras, automatic emergency braking, sensors to detect pedestrians, and driver concentration aids, etc. are just a few of the technologies we use often in our cars. Several features in cars that we use often include autonomous driving capabilities, in-car internet, parking assistance, onboard computers, and parking sensors. Our ride is safe and comfortable because of these features. Automobiles rely on the driver's active participation to function properly. Although, "how can we achieve this, and what is the logic behind the automobile industry?" is the fundamental issue that has to be posed. Computer jargon or programming language may be a good way to describe the answer to this issue. Incorporating new languages into vehicles is now possible because of the abundance of available programming languages. The Automotive Group relies heavily on machine learning and AI to accomplish its goals. Keywords— Artificial Intelligence, Automotive Industry, Deep Learning, Convolutional Neural Network, Technology, Machine Learning