Articles | Open Access |

AUTONOMOUS VEHICLES: TECHNICAL SAFETY AND ALGORITHMIC CHALLENGES

Maiguel Tereira , Technical researcher

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.

Keywords

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

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.

Article Statistics

Downloads

Download data is not yet available.

Copyright License

Download Citations

How to Cite

AUTONOMOUS VEHICLES: TECHNICAL SAFETY AND ALGORITHMIC CHALLENGES. (2026). International Journal of Artificial Intelligence, 6(02), 355. https://www.academicpublishers.org/journals/index.php/ijai/article/view/10711