The application of super-resolution image recognition technology in large-scale vehicle-to-vehicle communication

Shan He; Wenjun Tang; Yanfeng Gao; Xun Li

doi:10.1117/12.3006293

10 October 2023 The application of super-resolution image recognition technology in large-scale vehicle-to-vehicle communication

Shan He, Wenjun Tang, Yanfeng Gao, Xun Li

Author Affiliations +

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 1279940 (2023) https://doi.org/10.1117/12.3006293
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

With the increasing number of vehicles on the road, traffic congestion and safety issues have become more and more prominent. Super-resolution image recognition technology is a effective solution that can be used for image analysis and recognition in large-scale vehicle-to-vehicle communication. This paper introduces the basic principles and application scenarios of super-resolution image recognition technology and elaborates on its application in large-scale vehicle-to-vehicle communication. Experimental results show that this technology can effectively improve the accuracy and efficiency of image recognition and has broad application prospects.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shan He, Wenjun Tang, Yanfeng Gao, and Xun Li "The application of super-resolution image recognition technology in large-scale vehicle-to-vehicle communication", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 1279940 (10 October 2023); https://doi.org/10.1117/12.3006293

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