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Parking space detection system and method based on hierarchical pairwise similarity PVAnet

A parking space and similarity technology, applied in the field of computer vision, can solve the problems of slow speed and low precision

Active Publication Date: 2018-09-04
INSPUR GROUP CO LTD
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Problems solved by technology

Faster-rcnn can achieve amazing target detection accuracy, but because it is a two-stage target detection framework, it is slower
SSD simplifies the complexity of the network and becomes a one-stage target detection framework, which greatly improves the target detection speed and can realize real-time target detection. However, due to the simplicity of the network, its accuracy is relatively low

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  • Parking space detection system and method based on hierarchical pairwise similarity PVAnet

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specific Embodiment approach

[0018] In the proposed hierarchical pairwise similarity PVAnet, the present invention mainly consists of two networks jointly. The main framework of the first network was PVAnet. In this network, first use transfer learning to learn the characteristics of the vehicle, and then integrate the characteristics of the vehicle into PVAnet, so that PVAnet can better detect and identify the vehicle. The second network is a pair detection network, which is connected after the first network. The network is a fully connected network, which is used to learn the spatial position relationship between the detected vehicle center and the parking space center, so that the learned network can effectively identify the parking space. The method proposed by the invention can accurately find a parking space, thereby effectively alleviating the difficulty of parking in public places. The specific implementation is as follows:

[0019] (a) We first propose PVAnet incorporating vehicle detection pr...

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Abstract

The invention, which belongs to the field of computer vision technology, provides a parking space detection system and method based on hierarchical pairwise similarity PVAnet. Two networks are connected to form the hierarchical pairwise similarity PVAnet. The main framework of the first network is PVAnet. In the first network, characteristics of a vehicle are learned by using migration learning; and the characteristics of the vehicle are fused into the PVAnet. The second network is a paired detection network; and The second network is connected behind the first network and is used for learninga similarity relationship of spatial positions of the detected vehicle center and the parking space center, so that the learned network is able to identify the parking space effectively. With the provided method, the parking space can be found out accurately, so that a problem of difficult parking at public places is solved.

Description

technical field [0001] The invention relates to computer vision technology, in particular to a parking space detection system and method based on hierarchical pairwise similarity PVAnet. Background technique [0002] In recent years, the continuous improvement of the social and economic level has caused the number of private cars to increase year by year, making it difficult for the limited public parking resources to meet people's needs. Smart transportation is one of the key projects of the "13th Five-Year Plan" layout. Smart parking is an important part of this major project. Existing schemes all complete the precise detection of parking spaces by installing a large number of geomagnetic induction devices. However, above-ground parking lots account for a large proportion of existing parking lots, and the geomagnetic induction scheme has defects such as high cost and difficult implementation for above-ground parking lots. [0003] In recent years, deep learning has achi...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G08G1/14
CPCG08G1/14G06V20/586G06V20/584G06N3/045
Inventor 袭肖明于治楼吴永健
Owner INSPUR GROUP CO LTD
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