Advent of machine learning in autonomous vehicles

Samahitha Kaliyuru Ravi 1, *, Sameera Kaliyuru Ravi 1 and A. Hema Prabha 2

1 Department of MCA, Surana College (Autonomous), Bangalore University, India.
2 Department of Computer Application, Surana College (Autonomous), PG Branch, Bangalore University, India.
 
Research Article
International Journal of Science and Research Archive, 2024, 13(01), 1219–1226.
Article DOI: 10.30574/ijsra.2024.13.1.1760
Publication history: 
Received on 30 August 2024; revised on 22 September 2024; accepted on 24 September 2024
 
Abstract: 
The advent of Machine Learning has significantly transformed the landscape of automation, heralding a new era of efficiency, precision, and innovation. This literature review explores the pivotal role of machine learning in advancing automation across various industries. By examining the evolution of machine learning algorithms and their integration into automated systems, the paper highlights key developments and breakthroughs that have enabled machines to perform complex tasks with minimal human intervention. The review delves into case studies from manufacturing, healthcare, finance, and driver-less vehicles, illustrating how machine learning-driven automation has improved productivity, enhanced decision-making, and reduced operational costs. Furthermore, the paper discusses the challenges and ethical considerations associated with the widespread adoption of machine learning
in automation, such as data privacy, job displacement, and algorithmic bias. By synthesizing findings from recent research, this review provides a thorough study of the current state and future potential of machine learning in automation. The insights gained underscore the huge impact of machine learning technologies, along with the
need for continuous innovation and regulation to harness their full potential while mitigating associated risks. This paper serves as a valuable resource for academics, industry professionals, and policymakers aiming to navigate and contribute to the rapidly evolving field of machine learning in automation.
 
Keywords: 
Machine Learning; Autonomous Vehicles; Artificial Intelligence; Deep Learning
 
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0