AUTONOMOUS VEHICLES: TECHNICAL SAFETY AND ALGORITHMIC CHALLENGES

Authors

  • Maiguel Tereira Technical researcher

Keywords:

Autonomous vehicles, AI algorithms, safety validation, sensor fusion, machine learning

Abstract

 Autonomous vehicles (AVs) represent a revolutionary shift in transportation technology. However, ensuring their technical safety and algorithmic reliability remains a key challenge. This paper analyzes the architecture of autonomous driving systems, focusing on sensor fusion, AI decision-making algorithms, and safety validation frameworks.

References

Thrun, S. (2022). Robotic Car Revolution: AI in Motion. Springer.

SAE International (2023). Levels of Driving Automation Standard J3016.

Lee, C., et al. (2024). “Safety Assurance for AI-Driven Autonomous Vehicles,” IEEE Transactions on Intelligent Vehicles, 9(2), 115–128.

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Published

2026-02-21

How to Cite

Maiguel Tereira. (2026). AUTONOMOUS VEHICLES: TECHNICAL SAFETY AND ALGORITHMIC CHALLENGES. Ethiopian International Journal of Multidisciplinary Research, 13(2), 1134. Retrieved from https://www.eijmr.org/index.php/eijmr/article/view/5242

Issue

Vol. 13 No. 2 (2026): Ethiopian International Journal of Multidisciplinary Research

Section

Articles