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Artificial Intelligence in Autonomous Vehicles - A Literature Review

Vinyas D. Sagar*, T. S. Nanjundeswaraswamy**

* UG Scholar, Department of Mechanical Engineering, JSS Academy of Technical Education, Bangalore, Karnataka, India.

** Associate Professor, Department of Mechanical Engineering, JSS Academy of Technical Education, Bangalore, Karnataka, India.

Periodicity:February - April'2019
DOI : https://doi.org/10.26634/jfet.14.3.15149

Abstract

In recent days, technology is being an integral part of everyday life and artificial Intelligence becomes a part and parcel of both manufacturing and service systems. Today, researches on autonomous vehicles have been greatly improved. Currently, there is a need for a paper that presents a holistic literature survey of artificially intelligent autonomous vehicles. This paper presents holistic views of an artificially intelligent vehicle, the different methods adopted like a neural network, fuzzy logic, the different components, their advantages and disadvantages, etc. Also, the various sensors and map building are explained which makes an autonomous car more robust. Incorporation of machine learning and fuzzy - neural vehicle systems control have been explained in detail in this paper.

Keywords

Artificial Intelligence, Autonomous Vehicles, Neural network, Fuzzy Logic, Machine Learning, Object Recognition and Tracking.

How to Cite this Article?

Sagar, V. D., and Nanjundeswaraswamy, T. S. (2019). Artificial Intelligence in Autonomous Vehicles, a Literature Review. i-manager’s Journal on Future Engineering and Technology,14 (3), 56-62. https://doi.org/10.26634/jfet.14.3.15149

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