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Classified damage assessment method for auto parts

A technology for auto parts and damage determination, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of incomplete extraction of feature information, and the inability of extracted information to truly reflect the degree of damage, so as to avoid waste of resources and enhance accuracy , the effect of mitigating disputes

Active Publication Date: 2018-08-31
DALIAN ROILAND SCI & TECH CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem in the prior art that the extraction of feature information is not perfect and the extracted information cannot truly reflect the degree of damage, the present invention proposes a method for grading the damage of auto parts, further improving the steps of extracting information on the degree of vehicle damage, and ensuring the accuracy of damage determination. correctness

Method used

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  • Classified damage assessment method for auto parts
  • Classified damage assessment method for auto parts
  • Classified damage assessment method for auto parts

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Embodiment 1

[0023] A method for grading damage assessment of auto parts, comprising the steps of information collection, information processing, and component damage assessment, and the step of extracting multi-dimensional features of auto parts when collecting auto parts information, said multi-dimensional features including texture information and contours information.

[0024] In the information collection step, the information collection equipment is provided with a light source, a grating and a binocular stereo vision camera, and the light source is turned on to collect the data information of the auto parts to be tested, and transmit them to the computer through the non-contact sensor.

[0025] The information processing step uses CATIA software in the computer to carry out point cloud reverse paving and modeling to obtain the three-dimensional information of the auto parts to be tested, including the distance from any point of each side size, curvature, point cloud to the correspond...

Embodiment 2

[0038] The present invention also relates to the application of the auto parts grading and damage determination method in the above technical solution on smart glasses, and the smart glasses are used as information collection equipment.

Embodiment 3

[0040] When carrying out ultimate damage determination, embodiment 1 used the data of the LBP feature and the distance from any point of each side size, curvature, point cloud to the corresponding plane to extract the LBP feature of the image data of the auto parts offline, and established the SVM support vector machine classification model, The method of classifying vehicle damage levels, when a damaged auto part is collected, extracts the LBP feature of the image data of the damaged vehicle part and the data of the distance from any point of the point cloud to the corresponding plane in terms of size, curvature, and point cloud , and get the corresponding classification model to judge the damage degree of the vehicle.

[0041] The above method utilizes our company's perfect Internet of Vehicles information, obtains a large number of training samples, and establishes the classification of vehicle damage and faults. In this embodiment, the grades are divided into four levels: n...

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Abstract

The auto parts graded damage assessment method belongs to the field of automobile damage assessment, and is used to solve the problem that the extracted information cannot truly reflect the damage degree of the automobile caused by the incomplete extraction of characteristic information in the prior art. In the step of processing and component damage assessment, the step of extracting multi-dimensional features of auto parts includes texture information and contour information when collecting auto parts information. The effect is that the contour information and texture information can fully reflect the deformation of parts, extract multi-dimensional features, and effectively measure the damage of parts.

Description

technical field [0001] The invention belongs to the field of damage assessment of automobiles, in particular to a method for grading damage assessment of automobile parts. Background technique [0002] The current world is in the era of rapid development of mobile Internet technology, and smart terminals have gradually penetrated into people's lives. In the automotive field, performance is constantly being updated, and automotive systems are becoming more and more complex. From the launch of wearable smart glasses by Google to the smart glasses for cars proposed by BMW, all of them highlight the future development trend. Although smart glasses for cars have not appeared or become popular in the market at present, the concepts put forward are quite rich, so that they can meet the various needs of users. For example, the augmented reality glasses launched by BMW are currently attracting attention. Including services: navigation, life service recommendations, message reminde...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 田雨农林琳周秀田陆振波于维双
Owner DALIAN ROILAND SCI & TECH CO LTD
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