Autonomous Vehicles: Evolution of Artificial Intelligence and the Current Industry Landscape

Divya Garikapati; Sneha Sudhir Shetiya

doi:10.3390/bdcc8040042

journal article Open Access Apr 07, 2024

Autonomous Vehicles: Evolution of Artificial Intelligence and the Current Industry Landscape

Divya Garikapati

Sneha Sudhir Shetiya

Big Data and Cognitive Computing Vol. 8 No. 4 pp. 42 · MDPI AG

View at Publisher Save 10.3390/bdcc8040042

Abstract

The advent of autonomous vehicles has heralded a transformative era in transportation, reshaping the landscape of mobility through cutting-edge technologies. Central to this evolution is the integration of artificial intelligence (AI), propelling vehicles into realms of unprecedented autonomy. Commencing with an overview of the current industry landscape with respect to Operational Design Domain (ODD), this paper delves into the fundamental role of AI in shaping the autonomous decision-making capabilities of vehicles. It elucidates the steps involved in the AI-powered development life cycle in vehicles, addressing various challenges such as safety, security, privacy, and ethical considerations in AI-driven software development for autonomous vehicles. The study presents statistical insights into the usage and types of AI algorithms over the years, showcasing the evolving research landscape within the automotive industry. Furthermore, the paper highlights the pivotal role of parameters in refining algorithms for both trucks and cars, facilitating vehicles to adapt, learn, and improve performance over time. It concludes by outlining different levels of autonomy, elucidating the nuanced usage of AI algorithms, and discussing the automation of key tasks and the software package size at each level. Overall, the paper provides a comprehensive analysis of the current industry landscape, focusing on several critical aspects.

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Details

Published: Apr 07, 2024
Vol/Issue: 8(4)
Pages: 42
License: View

Authors

D

Divya Garikapati

Institute of Electrical and Electronics Engineers (IEEE), New York, NY 10016, USA

S

Sneha Sudhir Shetiya

Torc Robotics, Inc., Blacksburg, VA 24060, USA

Cite This Article

Divya Garikapati, Sneha Sudhir Shetiya (2024). Autonomous Vehicles: Evolution of Artificial Intelligence and the Current Industry Landscape. Big Data and Cognitive Computing, 8(4), 42. https://doi.org/10.3390/bdcc8040042

Autonomous Vehicles: Evolution of Artificial Intelligence and the Current Industry Landscape

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