AI-Based Approaches for Autonomous Vehicle Safety and Risk Management

Authors

  • Dr. Bengi Gönen Associate Professor of Electrical and Electronics Engineering, Middle East Technical University (METU) Author

Abstract

From a positive perspective, when the functions and enabling capabilities of the AVs progress fast, the contributory percentage of traditional functional components to the AV will drop rapidly, which will simplify the formulation, allowing more psychological effort and energy to integrate human-aware, human-like traits/capabilities/concepts for the AVs with the aim to improve the societal perception, safety trustworthiness and ethical issues of the new type of partners sharing the transportation systems. Hence, the significant tasks and technical features that the AI-based approaches will embrace are potential safety enhancements, potential safety security risks, future societal acceptance towards AI-based AV safety and risk management.

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Published

14-06-2023

How to Cite

[1]
Dr. Bengi Gönen, “AI-Based Approaches for Autonomous Vehicle Safety and Risk Management”, Distrib Learn Broad Appl Sci Res, vol. 9, pp. 27–52, Jun. 2023, Accessed: Dec. 22, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/45