Dependence of the Efficiency of the Distribution of Anti-icing Material on the Type of Suspension of the Weighing Conveyor

Marsov, Vadim Israilevich; Gematudinov, R. A.; Селезнев, В. С.; Dzhabrailov, Kh. A.

doi:10.1109/sosg.2019.8706718

Cited by 13 publications

(2 citation statements)

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“…This problem is solved by a synchronizer on the FPGA (Field-Programmable Gate Array), which allows you to synchronize control signals for scanner systems. In turn, an FPGA is a semiconductor device that can be configured by the developer after manufacture, programmed in the VHDL design language [9]. A typical FPGA circuit consists of three blocks: logical blocks, Input / Output blocks, and programmable keys.…”

Section: Recognition Methods Using Linear Cameras and Machine Vision Amentioning

confidence: 99%

“…Most of the processing time of the received data from cameras and sensors takes manual selection of markings and pavement defects, which in turn increases the total time for diagnostics of the road surface. To solve this problem, a computer vision system was introduced, which automatically identifies areas with markings and defects, and also calculates their areas [4], [6], [9].…”

Section: Fig 2 3d Model Of the Synchronizermentioning

confidence: 99%

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Technical vision for monitoring and diagnostics of the road surface quality in the smart city program

et al. 2020

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This article is devoted to the research and development of methods for the automated detection of road surface defects in offline mode. The article discusses the problems encountered in the operation of an automated road scanner (ARS), as well as the modernization of the system to solve these problems using computer (machine) vision and a Field-Programmable Gate Array (FPGA). The work uses deep learning methods and analysis of various architectures of neural networks. About 100 terabytes were collected and tagged to train the neural network for recognizing road defects. It is worth noting that the task of recognizing defects in the roadway is one of the most difficult even for the human eye, since the contours merge with the defect. During the study, a board was developed to collect telemetric data from road scanner devices. To store the collected telemetry characteristics, a large data storage was developed with replication and synchronization functions.

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Section: Recognition Methods Using Linear Cameras and Machine Vision Amentioning

confidence: 99%

Section: Fig 2 3d Model Of the Synchronizermentioning

confidence: 99%

Technical vision for monitoring and diagnostics of the road surface quality in the smart city program

et al. 2020

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Development of a Control System for the Transportation of Asphalt Mix with the Maintenance of the Required Temperature

Dzhabrailov

Gorodnichev

Gematudinov

et al. 2020

VIII International Scientific Siberian Transport Forum

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Modern Method of Computer Simulation of Structures and Physical Properties of Composite Materials

Chantieva

Dzhabrailov

Gematudinov

et al. 2020

International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019

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Dependence of the Efficiency of the Distribution of Anti-icing Material on the Type of Suspension of the Weighing Conveyor

Cited by 13 publications

References 0 publications

Technical vision for monitoring and diagnostics of the road surface quality in the smart city program

Technical vision for monitoring and diagnostics of the road surface quality in the smart city program

Development of a Control System for the Transportation of Asphalt Mix with the Maintenance of the Required Temperature

Modern Method of Computer Simulation of Structures and Physical Properties of Composite Materials

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