Development and Research of Reconfi gurable High-Speed Image Recognition Algorithms for Traffi c Situation Assessment Based on Specialized Mobile Devices with Parallel-Pipeline Architecture

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The article summarizes the results of studying the use of reconfigurable computing environments for image processing tasks obtained on board unmanned transport systems. A new approach was proposed to the development of specialized, high-speed algorithms for recognizing images of a road scene, designed for hardware execution on computers with a parallel-pipeline architecture based on the model of reconfigurable computing environments. The architecture and algorithmic tooling of such environments for traffic situation assessment problems are considered. A new class of image recognition algorithms based on the calculation of LBP, HOG descriptors and the SVM classifier has been formed. It is shown that calculations of HOG descriptors in the layer of a reconfigurable computing environment are performed in one machine cycle for the entire image, and the execution time, when implemented on an Intel Arria 10 FPGA, does not exceed 20 ns.

Sobre autores

Stanisalv Shidlovskiy

Tomsk State University

Autor responsável pela correspondência
Email: shidlovskiysv@mail.ru
Rússia, 36 Lenin Ave., Tomsk, 634050, Russia

Dmitry Shashev

Tomsk State University

Email: dshashev@mail.tsu.ru
Rússia, 36 Lenin Ave., Tomsk, 634050, Russia

Anton Bondarchuk

Tomsk State University

Email: bondarchuk.a.c@gmail.com
Rússia, 36 Lenin Ave., Tomsk, 634050, Russia

Vladislav Shatravin

Tomsk State University

Email: shatravin@stud.tsu.ru
Rússia, 36 Lenin Ave., Tomsk, 634050, Russia

Mihail Okunskiy

Tomsk State University

Email: iamleftbrain@gmail.com
Rússia, 36 Lenin Ave., Tomsk, 634050, Russia

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Declaração de direitos autorais © Shidlovskiy S.V., Shashev D.V., Bondarchuk A.S., Shatravin V.V., Okunskiy M.V., 2024

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