AUTONOMOUS VEHICLES: TECHNICAL SAFETY AND ALGORITHMIC CHALLENGES
DOI:
https://doi.org/10.55640/Keywords:
Autonomous vehicles, AI algorithms, safety validation, sensor fusion, machine learningAbstract
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
1.Thrun, S. (2022). Robotic Car Revolution: AI in Motion. Springer.
2.SAE International (2023). Levels of Driving Automation Standard J3016.
3.Lee, C., et al. (2024). “Safety Assurance for AI-Driven Autonomous Vehicles,” IEEE Transactions on Intelligent Vehicles, 9(2), 115–128.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.
