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Cloud Architectural Design for Image-based Vehicle Positioning in Traffic Management | IEEE Conference Publication | IEEE Xplore

Cloud Architectural Design for Image-based Vehicle Positioning in Traffic Management


Abstract:

Vehicle positioning algorithms are essential for improving traffic management and safety by accurately locating vehicles in real-time, and, thus, minimizing congestion an...Show More

Abstract:

Vehicle positioning algorithms are essential for improving traffic management and safety by accurately locating vehicles in real-time, and, thus, minimizing congestion and accidents. They also support the development of advanced driver assistance systems and autonomous vehicles, relying on precise positioning data for safe navigation. One of the solutions involves using image processing algorithms, which can have two approaches. One approach is decentralized, in which each vehicle performs its own computing steps and determines its position concerning the other nearby vehicles. The second approach, proposed in this paper, is centralized, where each vehicle sends data to a server that uses cloud computing to process all the data in real-time. As such, vehicles can create a more comprehensive view of the driving conditions in the area by using either of these two approaches, which can help them anticipate potential hazards and make more informed decisions.
Date of Conference: 10-12 October 2024
Date Added to IEEE Xplore: 11 November 2024
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Conference Location: Sinaia, Romania

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