DEVELOPING INTELLIGENT SYSTEMS FOR AUTONOMOUS VEHICLES: A REVIEW OF CURRENT TRENDS AND CHALLENGES

Authors

  • Dr. Adeel Shahid Department of Electrical Engineering, University of Lahore, Lahore, Pakistan Author

Keywords:

Autonomous Vehicles, Intelligent Systems, Machine Learning, Sensor Fusion

Abstract

The development of intelligent systems for autonomous vehicles (AVs) is one of the most revolutionary advancements in modern transportation. This paper provides a comprehensive review of the current trends, technologies, and challenges in the design and deployment of intelligent systems for AVs. We examine key components such as machine learning, computer vision, sensor fusion, and decision-making algorithms, exploring how they contribute to vehicle autonomy. Additionally, we discuss the limitations and barriers facing AV technology, including safety concerns, ethical implications, regulatory frameworks, and public acceptance. The review also highlights future trends and the potential for further innovations in AVs, emphasizing the role of intelligent systems in shaping the future of transportation.

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Published

2025-07-09

Issue

Vol. 5 No. 3 (2025): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

Creative Commons License

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