Vol. 3 No. 2 (2023): Journal of AI-Assisted Scientific Discovery
Articles

Human-Centered Design of AI-driven Navigation Systems for Autonomous Vehicles Utilizing Blockchain Technology

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  • Dr. Ayşe Erçil
Dr. Ayşe Erçil
Associate Professor of Electrical and Electronics Engineering, Yıldız Technical University, Turkey
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Published 30-12-2023

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

How to Cite

[1]
Dr. Ayşe Erçil, “Human-Centered Design of AI-driven Navigation Systems for Autonomous Vehicles Utilizing Blockchain Technology”, Journal of AI-Assisted Scientific Discovery, vol. 3, no. 2, pp. 153–175, Dec. 2023, Accessed: Jul. 06, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/102

Abstract

Autonomous vehicles (AVs) are about to become a part of everyday life. The technology in the field continues to grow rapidly, resulting in calls for comprehensive regulations and standards concerning AVs. Critical to the operation of AVs are navigation systems, which determine where the vehicles are going and how they will get there. A large number of technologies and systems have emerged to address this part of the AV enterprise. Navigation solutions typically rely on the processing of large amounts of data collected from in-vehicle sensors and a broad range of connectivity technologies such as 5G and dedicated short-range communications (DSRC), making it appropriate to describe these services as intelligent navigation systems. As the name suggests, intelligent navigation systems are designed to navigate vehicles on the road with near-zero latency and thus contribute to increased safety and reduced travel times. These solutions become even more effective in congested urban environments like Paris, London, or New York, where travelers face ample traffic, parking, and access issues. However, there are some serious issues regarding the use of these innovative technologies, including privacy, safety, security, reliability, trust, and liability. The paper proposes addressing these significant questions by adopting a decentralized, human-centered approach where the end-user plays a decisive role in navigation decision-making. The paper proposes a human-centered design for an AI-driven navigation tracking system for autonomous vehicles benefiting from blockchain telematics technology. The proposed tracking system is built on top of secure intelligent navigation technologies associated with 5G, DSRC, C-V2X, and V2V communication.

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