Review on AI-Driven Automation for Autonomous Vehicles

Authors

  • Mamatha G
  • Neha Subrahmanya Hegde

Keywords:

AI-driven, Automation, Autonomous vehicle, Convolutional Neural Network (CNN), Machine learning

Abstract

The advancement of Artificial Intelligence (AI) has revolutionized the automotive industry, particularly in the field of Autonomous vehicles. This paper explores the integration of sophisticated AI algorithms and Sensor systems to enable the automation of Cars that are leveraged with techniques such as Machine Learning, Deep Learning, and Computer vision. Vehicles can autonomously perceive their surroundings, make informed decisions, and navigate complex environments without human intervention. The evolution of autonomous driving is examined through various levels of automation, with a focus on achieving fully autonomous capabilities.
Further, the paper discusses the benefits and challenges of AI-driven car automation. Despite promising advancements, challenges like regulatory frameworks, safety concerns, and infrastructure limitations persist. Ongoing research and development efforts are aimed at addressing challenges and enhancing Autonomous Vehicles' safety, efficiency, and reliability. By embracing AI technology, the automotive industry is poised to usher in a new era of transportation characterized by convenience, improved safety, and reduced environmental impact.

Published

2024-06-19

Issue

Section

Articles