Applications and Challenges of Artificial Neural Networks in Autonomous Vehicle Technology

This report explores the application of Artificial Neural Networks (ANN) in autonomous vehicles, focusing on their role in perception, decision-making, and control systems. The analysis is based on recent research and developments, highlighting the advantages and challenges of integrating ANN in autonomous driving technology.

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Publication Details

Journal
International Journal of Advanced engineering Management and Science
Published
2025-01-01
DOI
https://doi.org/10.22161/ijaems.113.7
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Applications and Challenges of Artificial Neural Networks in Autonomous Vehicle Technology

Emmanuel Iyalagha
International Journal of Advanced engineering Management and Science
Traffic Prediction and Management Techniques
article

Applications and Challenges of Artificial Neural Networks in Autonomous Vehicle Technology

Emmanuel Iyalagha
article en

Abstract

This report explores the application of Artificial Neural Networks (ANN) in autonomous vehicles, focusing on their role in perception, decision-making, and control systems. The analysis is based on recent research and developments, highlighting the advantages and challenges of integrating ANN in autonomous driving technology.

International Journal of Advanced engineering Management and ScienceVol. 11(3)
Texas A&M University – Kingsville (US)
Openalex Percentile: Top 86%
Traffic Prediction and Management Techniques
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Applications and Challenges of Artificial Neural Networks in Autonomous Vehicle Technology — Emmanuel Iyalagha · International Journal of Advanced engineering Management and Science (2025) | TGRS Research Map | TGRS