Bridging Intelligence: Human-AI Collaboration in Embedded Automotive  Control Systems

Alagar Raja Govindasamy

Bridging Intelligence: Human-AI Collaboration in Embedded Automotive Control Systems

Authors

Alagar Raja Govindasamy

Keywords:

Human-AI Collaboration, Embedded Automotive Systems, Explainable Artificial Intelligence, Shared Control Architecture, Driver Assistance Technologies

Abstract

Artificial intelligence is fundamentally changing the embedded control system and technologies in thedriver assistance domain, but the automotive industry is undergoing a complete transformation like neverbefore, with the integration of artificial intelligence into the vehicle architecture. The most extensively tried automation that uses rules has hit critical points

References

Klaus Bengler et al., "Three Decades of Driver Assistance Systems: Review and Future Perspectives, "IEEE Intelligent Transportation Systems Magazine, 2014. [Online]. Available: https://ieeexplore.ieee.org/document/6936444

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Published

2026-01-31

How to Cite

Alagar Raja Govindasamy. (2026). Bridging Intelligence: Human-AI Collaboration in Embedded Automotive Control Systems . Journal of Computational Analysis and Applications (JoCAAA), 35(1), 851–860. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4803