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Vehicle appearance part recognition method based on deep learning

A technology of deep learning and recognition method, which is applied in the field of recognition of vehicle exterior parts based on deep learning, can solve problems such as research and application problems, and achieve the effects of high precision, error avoidance, and fast operation speed

Pending Publication Date: 2019-04-19
中汽数据(天津)有限公司
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Problems solved by technology

As a result, there will be overlapping areas in the recognition of vehicle exterior parts in this method, such as the overlapping of the rectangular frame area of ​​the front bumper and the rectangular frame of the left front fender, which will cause trouble for further research and application based on the algorithm
In addition, this method may not be able to identify the vehicle parts in the local image, and it needs to be matched with the image of the recognized vehicle parts to make further identification

Method used

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  • Vehicle appearance part recognition method based on deep learning
  • Vehicle appearance part recognition method based on deep learning

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Embodiment Construction

[0024] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0025] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and thus should not be construed as limiting the invention. In addition, the terms "first", "second", etc. are used for descriptive purposes only, and should not be interpreted...

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Abstract

The invention provides a vehicle appearance part recognition method based on deep learning. The vehicle appearance part recognition method comprises the steps that a vehicle image in real life is acquired, and pixel-level segmentation marking is conducted on vehicle appearance parts; Building a deep convolutional neural network; Using the built network model to carry out training; And vehicle appearance part identification and model evaluation are carried out by using the trained model. According to the vehicle appearance part recognition method based on deep learning, the pixel-level target segmentation recognition method for the appearance part of the vehicle image in any size, any angle and any vehicle type in a real environment is realized, and the model algorithm is high in operationspeed and high in precision.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method for recognizing vehicle exterior parts based on deep learning. Background technique [0002] In recent years, with the continuous and rapid development of China's economy and society, the number of motor vehicles in the country has continued to grow rapidly. At the same time, more and more people pay more and more attention to vehicle safety. Among them, the state of vehicle exterior parts, such as scratches and scratches, has important applications in business scenarios such as vehicle appearance quality inspection in automobile equipment, damage determination and claim settlement in automobile insurance, and valuation of used cars. Therefore, the identification of vehicle appearance parts is particularly important as an important step in vehicle appearance state detection. [0003] After searching the existing technology, it was found that Chinese...

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06V20/584G06V10/267G06V2201/08G06F18/24G06F18/214
Inventor 朱向雷郭维明刘森朱倩倩赵子豪
Owner 中汽数据(天津)有限公司
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