High-speed service area parking space identification method

A high-speed service and parking space recognition technology, applied in the field of image recognition and computer vision, can solve the problems of inability to achieve the detection accuracy of the two-stage convolutional neural network model, slow forward reasoning speed, and inability to meet the real-time requirements of business scenarios.

Pending Publication Date: 2020-08-28
ZHEJIANG UNIV OF TECH
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Problems solved by technology

Although the two-stage convolutional neural network model has better detection accuracy, its forward reasoning speed is slow and cannot meet the real-time requirements of business scenarios
In th...

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  • High-speed service area parking space identification method
  • High-speed service area parking space identification method
  • High-speed service area parking space identification method

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Embodiment Construction

[0040] In order to better illustrate the technical solution of the present invention, the present invention will be further described below through an implementation example in conjunction with the accompanying drawings.

[0041] A parking space identification method in a high-speed service area, comprising the following steps:

[0042] Step 1: Collect a large number of image data taken by high-altitude cameras, build a parking lot data set M in the high-speed service area with a number of 10,000, a training data set T with 8,000, a verification data set V with 2,000, and mark the number of vehicle categories C The value is 5, which are cars, off-road vehicles, large trucks, police cars, and engineering maintenance vehicles. The training data batch size is 4, the number of training batches is 1000, and the learning rate l_rate is 0.001. The proportional coefficient ζ between the training data set T and the verification data set V is 0.25, and the height h of the image is k = ...

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Abstract

The high-speed service area parking space identification method comprises the following steps: 1) collecting images of high-altitude cameras in a large number of parking lots and data sets of other vehicles, calibrating the data sets according to on-site management requirements, and determining a used one-stage target detection algorithm model; 2) constructing a parameter self-adaptive loss function; and 3) constructing a loss function LOSS of a one-stage target detection algorithm model. 4) updating the weight of the one-stage target detection algorithm model by adopting a gradient descent method until the model converges; and enabling the trained model to complete detection of vehicles in an actual system, and calculating the number of remaining parking spaces according to the preset total number of on-site parking spaces and the current number of vehicles so as to achieve management of the parking spaces. The method has the advantages that the provided focus loss function can improve the parameter adaptability of the target detection model, and the accuracy of target detection is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition and computer vision, and relates to a parking space recognition method in a high-speed service area. Background technique [0002] At present, for the detection of parking spaces in high-speed service areas, traditional detection methods mainly include: micro-radar detection, infrared detection, geomagnetic induction coil detection and radio frequency identification technology. This type of method requires the installation of special sensing equipment for each parking space in the parking lot of the high-speed service area, which requires high engineering costs, difficult maintenance in the later period, and high manpower and material costs. Use the security camera in the parking lot of the existing high-speed service area to identify the status of the parking space in real time, and then count the parking space information in this area. Because it utilizes the existing parking lot moni...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/10G06N3/045G06F18/24133Y02T10/40
Inventor 邵奇可卢熠颜世航陈一苇
Owner ZHEJIANG UNIV OF TECH
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