Advent of Artificial Intelligence in Automotive Engineering

dc.contributor.authorAdeiza Avidime Samuel
dc.contributor.authorAdekunle Akanni Adeleke
dc.contributor.authorEsther Nneka Anosike-Francis
dc.contributor.authorTemitayo Samson Ogedengbe
dc.contributor.authorPeter Pelumi Ikubanni
dc.contributor.authorFavour Oluwasayo Adeyemi
dc.contributor.authorJamiu Kolawole Odusote
dc.contributor.authorMatthew Onuoha
dc.contributor.authorUsman Shuaib
dc.date.accessioned2025-02-03T11:23:03Z
dc.date.issued2024-02-29
dc.description.abstractArtificial 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.
dc.identifier10.1109/icmeas58693.2023.10429907
dc.identifier.citationSamuel, A.A. et.al. (2023). ADVENT OF ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE ENGINEERING. The 2nd International Conference on Multidisciplinary Engineering and Applied Sciences (ICMEAS-2023).
dc.identifier.other979-8-3503-5883-4
dc.identifier.uriDOI: 10.1109/ICMEAS58693.2023.10429907
dc.identifier.urihttps://repository.nileuniversity.edu.ng/handle/123456789/314
dc.language.isoen
dc.publisherIEEE
dc.sourceCrossref
dc.subjectautomotive engineering
dc.subjectAI
dc.subjectperception algorithms
dc.subjectdeep learning
dc.titleAdvent of Artificial Intelligence in Automotive Engineering
dc.typeArticle

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