Real-time detection method for determining occupancy of parking space

Abstract

The invention, which belongs to the field of machine vision technology, discloses a real-time detection method for determining occupancy of a parking space and particularly relates to a real-time detection method for determining whether a parking space is occupied correctly based on fusion of an overlooking deep image with a convolution neural network. A binocular stereo camera is built; a vehiclesample and a non-vehicle sample are collected; a vehicle detection model based on a convolutional neural network CarNet is designed and the vehicle detection model is trained; the location of a monitored parking space in a camera image is calibrated manually; a deep image in a monitoring scene is obtained; the deep image is segmented to obtain a vehicle area preliminarily and the vehicle is detected by using the CarNet detection model; and on the basis of combination of the deep image with the convoluted neural network result, a reliable vehicle detection frame is obtained and whether the parking space is occupied is determined. The real-time detection method can be applied to semi-open or indoor parking lots like a gas station or an underground parking lot and is capable of outputting parking space occupation information accurately. The method has advantages of low implementation cost, high work efficiency and strong automation capability and has broad development prospects.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and in particular relates to a real-time detection method for judging parking space occupancy. Background technique [0002] In recent years, with the rapid development of the economy and the improvement of people's living standards, the per capita ownership of cars has also increased year by year. With the acceleration of the pace of automobiles entering the family, the resulting static traffic problems have become increasingly prominent, and have become prominent problems restricting the development of my country's automobile industry and even the urban national economy. The current problems are mainly manifested in the following aspects: first, the planning and layout are not reasonable; second, the control of land use indicators is insufficient; third, the number of parking spaces in the community is small; Tao phenomenon is serious. The above situation has seriously affected the dev...

AI Technical Summary

Problems solved by technology

However, the traditional parking lot is getting bigger and bigger, and the efficiency of manual management is getting lower and lower. Therefore, the intelligent parking lot has attracted more and more attention from the industry, and the research direction has been continuously broadened and deepened.

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