Advent of Artificial Intelligence in Automotive Engineering

Artificial intelligence (AI) has long been a topic of interest and with its constant development and growing popularity and functions, it is no surprise that it has made its way into the automotive industry. For ages, people have done research regarding AI in the automotive industry, and with the in...

Full description

Saved in:
Bibliographic Details
Published in2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS) Vol. 1; pp. 1 - 6
Main Authors Samuel, Adeiza Avidime, Adeleke, Adekunle Akanni, Anosike-Francis, Esther Nneka, Ogedengbe, Temitayo Samson, Ikubanni, Peter Pelumi, Adeyemi, Favour Oluwasayo, Odusote, Jamiu Kolawole, Onuoha, Matthew, Shuaib, Usman
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2023
Subjects
Artificial intelligence
Automobiles
Automotive engineering
Complexity theory
Data models
deep learning
Faces
Industries
perception algorithms
Online AccessGet full text
DOI10.1109/ICMEAS58693.2023.10429907

Cover

More Information
Summary:Artificial intelligence (AI) has long been a topic of interest and with its constant development and growing popularity and functions, it is no surprise that it has made its way into the automotive industry. For ages, people have done research regarding AI in the automotive industry, and with the increasing popularity of this subject, the research only goes deeper. This paper gives an analysis of previous research under different areas which involve AI in automotives, somewhat singling out autonomous vehicles. We also go into the basis of artificial intelligence, as well as highlight a few challenges which face the integration of AI into the automotive industry.
DOI:10.1109/ICMEAS58693.2023.10429907