A Survey on Automotive Cyber-Physical Systems

Author:

Jayaprakash Sujith1,N. Shanmugapriya2,K. Chitra3,V. Kathiresan2

Affiliation:

1. NIIT, Ghana

2. Dr. S. N. S. Rajalakshmi College of Arts and Science, India

3. Rathnavel Subramanian College of Arts and Science, India

Abstract

The cyber-physical system encompasses physics and cyber systems, which are highly interconnected and networked. Considered to be one of the fascinating inventions of today's world, CPS applications include autonomous vehicles, industrial control systems, medical monitoring, automatic pilot avionics, etc. Autonomous or semi-autonomous vehicles, also known as self-driving or driverless vehicles, are automobiles that require less or no human intervention for operating or controlling them. CPS has brought in several advancements in the automobile industry by providing a seamless human interaction with physical and cyber systems, which includes IoT, artificial intelligence, machine learning, etc. Machine learning algorithms play a major role in enhancing autonomous vehicle models. This chapter focuses on the various machine learning algorithms that are used commonly in building robust autonomous vehicles. This chapter also focuses on the evolution of autonomous vehicles and the backed cyber advancements.

Publisher

IGI Global

Reference20 articles.

1. Trends in Using IoT with Machine Learning in Health Prediction System

2. Arcot, R. (2021). Cyber-Physical Systems: The Core of Industry 4.0. https://blog.isa.org/cyber-physical-systems-the-core-of-industry-4.0

3. Exploring the Mechanism of Crashes with Autonomous Vehicles Using Machine Learning

4. Safe AI for CPS (Invited Paper)

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