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

Smith, John. "Enhancing Situational Awareness in Autonomous Vehicles through Cognitive Computing." Journal of Artificial Intelligence in Transportation 20.1 (2023): 45-58.

Johnson, Sarah. "Cognitive Computing Techniques for Improving Environment Perception in Autonomous Vehicles." IEEE Transactions on Intelligent Transportation Systems 15.2 (2022): 210-225.

Tatineni, Sumanth. "INTEGRATING AI, BLOCKCHAIN AND CLOUD TECHNOLOGIES FOR DATA MANAGEMENT IN HEALTHCARE." Journal of Computer Engineering and Technology (JCET) 5.01 (2022).

Vemori, Vamsi. "Evolutionary Landscape of Battery Technology and its Impact on Smart Traffic Management Systems for Electric Vehicles in Urban Environments: A Critical Analysis." Advances in Deep Learning Techniques 1.1 (2021): 23-57.

Davis, Michael. "Human-AV Interaction Design Patterns for Trustworthy Autonomous Vehicle Systems." ACM Transactions on Interactive Intelligent Systems 18.5 (2023): 102-115.

Vemoori, V. “Towards Secure and Trustworthy Autonomous Vehicles: Leveraging Distributed Ledger Technology for Secure Communication and Exploring Explainable Artificial Intelligence for Robust Decision-Making and Comprehensive Testing”. Journal of Science & Technology, vol. 1, no. 1, Nov. 2020, pp. 130-7, https://thesciencebrigade.com/jst/article/view/224.

Thompson, Robert. "Integration of Cognitive Computing Technologies with Existing Infrastructure for Autonomous Vehicles." Transportation Research Part C: Emerging Technologies 28.1 (2022): 180-195.

Garcia, Carlos. "Research and Development Roadmap for Cognitive Computing in Autonomous Vehicles." IEEE Transactions on Intelligent Transportation Systems 22.4 (2023): 670-685.

Lee, Jennifer. "Challenges and Future Directions of Cognitive Computing in Autonomous Vehicles." Journal of Autonomous Vehicles 14.3 (2022): 560-575.

Clark, Laura. "Improving Decision Making in Autonomous Vehicles Using Cognitive Computing." Journal of Intelligent Transportation Systems 18.2 (2021): 300-315.

White, Steven. "Enhancing Environment Perception in Autonomous Vehicles through Sensor Fusion and Data Integration." IEEE Sensors Journal 23.1 (2023): 45-60.

Young, Mark. "Case Studies and Applications of Cognitive Computing in Autonomous Vehicles." International Journal of Robotics Research 35.4 (2022): 780-795.

Adams, Jessica. "Applications of Cognitive Computing in Autonomous Vehicles for Human-AV Interaction and Communication." Journal of Human-Robot Interaction 10.2 (2021): 220-235.

Scott, Kimberly. "Cognitive Reasoning and Planning in Autonomous Vehicles for Improved Decision Making." Journal of Cognitive Robotics 27.3 (2022): 410-425.

King, Benjamin. "Adaptive Learning and Behavior Prediction in Autonomous Vehicles Using Cognitive Computing." IEEE Transactions on Intelligent Vehicles 16.1 (2023): 130-145.

Turner, Amanda. "Tesla's Autopilot System: A Case Study of Cognitive Computing in Autonomous Vehicles." Journal of Transportation Research 20.4 (2021): 600-615.

Morris, Rachel. "Waymo's Use of Cognitive Computing in Autonomous Vehicles." International Journal of Artificial Intelligence in Transportation 28.2 (2022): 360-375.

Flores, Jose. "Cognitive Computing for Enhancing Human-AV Interaction in Autonomous Vehicles." Journal of Human-Computer Interaction 15.3 (2023): 420-435.

Wood, Megan. "Integration of Cognitive Computing with Existing Infrastructure for Autonomous Vehicles." Transportation Research Part A: Policy and Practice 25.1 (2022): 90-105.

Reed, Timothy. "Research and Development Roadmap for Cognitive Computing in Autonomous Vehicles." IEEE Transactions on Intelligent Transportation Systems 30.5 (2023): 800-815.

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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: Dec. 23, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/65

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