DETECTION OF FREE PARKING SPACES USING ARTIFICIAL INTELLIGENCE METHODS
Abstract
At present, the motorization level continues to grow, therefore, including the problem of finding a free parking space. It is not always possible for car owners to quickly find an unoccupied parking space. In order to optimize the search time, it is effective to use monitoring systems based on the use of convolutional neural networks, which receive a stream of images from the camera at the input, analyze and give a result about the availability of free parking spaces. The article provides an overview of the principles and possible stack of development technologies.
About the Authors
A. E. Krivonogova
Naberezhnye Chelny Institute, Kazan (Volga Region) Federal University
Russian Federation
Russian Federation
3rd year student
A. I. Voroshilov
Naberezhnye Chelny Institute, Kazan (Volga Region) Federal University
Russian Federation
Russian Federation
Graduate student
I. V. Makarova
Naberezhnye Chelny Institute, Kazan (Volga Region) Federal University
Russian Federation
Russian Federation
Doctor of Technical Sciences, Professor, Head. department "Service of transport System"
P. A. Buivol
Naberezhnye Chelny Institute, Kazan (Volga Region) Federal University
Russian Federation
Russian Federation
Ph.D., Associate Professor, department "Service of transport System"
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Review
For citations:
Krivonogova A.E., Voroshilov A.I., Makarova I.V., Buivol P.A. DETECTION OF FREE PARKING SPACES USING ARTIFICIAL INTELLIGENCE METHODS. Social-economic and technical systems: research, design and optimization. 2022;(2):34-42. (In Russ.)
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