Vol. 2 No. 1 (2022): Journal of AI-Assisted Scientific Discovery
Articles

Deep Learning-based Gesture Recognition for Human-Vehicle Interaction in IoT-connected Autonomous Vehicles

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  • Dr. Michael Cooney
Dr. Michael Cooney
Associate Professor of Cybersecurity, Queensland University of Technology (QUT), Australia
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Published 24-06-2024

Keywords

  • Autonomous vehicles,
  • transportation technology
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Michael Cooney, “Deep Learning-based Gesture Recognition for Human-Vehicle Interaction in IoT-connected Autonomous Vehicles”, Journal of AI-Assisted Scientific Discovery, vol. 2, no. 1, pp. 1–25, Jun. 2024, Accessed: Sep. 19, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/45

Abstract

Inferences to be drawn for future cybersecurity preventive measures are also described in this paper. In addition, furthermore, the prior art to mitigate the likelihood of these inferences is also presented, which is reflective towards the increase of value of the associated benefits. It integrates with the plethora of additional changes that result from having autonomous vehicles, thereby making sure that cybersecurity risks can be properly bounded in terms of the security, the safety, and the privacy of autonomous driving.

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References

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