Navigating the Future: A Review of Contemporary AI Methodologies in Autonomous Vehicle Development for 6G Networks

Lama, Sirine and Akinsolu, Mobayode O. (2025) Navigating the Future: A Review of Contemporary AI Methodologies in Autonomous Vehicle Development for 6G Networks. In: 5th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM), 20-22 November 2024, Balaclava, Mauritius.

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Abstract

The development of autonomous vehicles (AVs) has advanced dramatically due to the rapid evolution of artificial intelligence (AI) technologies, which hold the potential to revolutionize the transportation industry. This paper investigates the integration of sensor fusion, deep learning (DL), and machine learning (ML) techniques with 6G network infrastructure to enhance A V capabilities. 6G networks' improved connectivity and reduced latency enable real-time vehicle-to-everything (V2X) communication and data processing, which are essential for the effective and safe operation of A Vs. Through a comprehensive review of recent literature and case studies, this paper assesses the effectiveness of AI technologies in real-world scenarios, highlighting their impact on the automotive industry. It covers ethical and technological issues, including data privacy, decision-making, cybersecurity risks, data processing, and sensor reliability. The paper also examines the regulatory environment, underscoring the necessity of well-coordinated international frameworks. The findings emphasize a multidisciplinary approach to developing A V technology and creating laws that promote public safety and confidence. Significant research gaps are identified, and future research directions are suggested, including developing reliable sensors, maintaining cybersecurity, and creating efficient algorithms and regulatory frameworks. These initiatives will help AVs operate seamlessly in an intelligent transportation ecosystem supported by 6G networks.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Autonomous Vehicles (AV), Artificial Intelligence (AI), Machine Learning (ML), Real-time Data Processing, Sensor Fusion, 6G Networks
Divisions:	Applied Science, Computing and Engineering
Depositing User:	Hayley Dennis
Date Deposited:	11 Jun 2025 12:10
Last Modified:	11 Jun 2025 12:10
URI:	https://wrexham.repository.guildhe.ac.uk/id/eprint/18309

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