Enhancing Situational Awareness in Autonomous Vehicles through Cognitive Computing: Explores how cognitive computing can enhance situational awareness in autonomous vehicles

Authors

  • Dr. Chen Wang Associate Professor of Information Technology, National Chung Cheng University, Taiwan Author

Keywords:

Autonomous Vehicles, Situational Awareness, Cognitive Computing

Abstract

Autonomous vehicles (AVs) have the potential to revolutionize transportation by reducing accidents and improving traffic efficiency. However, ensuring the safety of AVs remains a significant challenge, particularly in complex and dynamic environments. One key aspect of AV safety is situational awareness, which refers to the vehicle's ability to perceive and understand its surroundings. This paper explores how cognitive computing can enhance situational awareness in AVs. Cognitive computing combines artificial intelligence (AI) techniques such as machine learning, natural language processing, and computer vision to simulate human thought processes. By leveraging cognitive computing, AVs can improve their ability to perceive and interpret their environment, leading to safer and more reliable autonomous driving.

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References

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Published

21-12-2022

How to Cite

[1]
Dr. Chen Wang, “Enhancing Situational Awareness in Autonomous Vehicles through Cognitive Computing: Explores how cognitive computing can enhance situational awareness in autonomous vehicles”, J. of Artificial Int. Research and App., vol. 2, no. 2, pp. 1–12, Dec. 2022, Accessed: Nov. 21, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/65

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