Vehicle intelligent loss assessment method, device and equipment and storage medium
A vehicle and intelligent technology, applied in data processing applications, instruments, finance, etc., can solve the problem of low recognition accuracy of vehicle parts, and achieve the effect of improving the recognition accuracy
Pending Publication Date: 2022-08-02
PING AN TECH (SHENZHEN) CO LTD
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[0003] This application provides a vehicle intelligent damage assessment method, device, equipment and storage medium to solve the problem of low recognition accuracy of vehicle parts during vehicle damage assessment
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[0054]The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.
[0055] The terms "first", "second" and "third" in this application are only used for descriptive purposes, and should not be construed as indicating or implying relative importance or implying the number of indicated technical features. Thus, a feature defined as "first", "second", "third" may expressly or implicitly include at least one of that feature. In the description of the present application, "a plurality of" means at least two, such as two, three,...
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The invention relates to the technical field of artificial intelligence, and provides an intelligent vehicle loss assessment method, device and equipment and a storage medium, and the method comprises the steps: inputting a to-be-recognized vehicle loss assessment picture into a pre-trained semantic segmentation network for segmentation, and obtaining a gray-scale map and a pixel value of each pixel in the gray-scale map; classifying according to the pixel values to obtain an initial vehicle part list and a segmentation map corresponding to each vehicle part formed by the same pixel values; matching the segmented images with detail images in a pre-constructed detail image feature library one by one; for the matched segmented images, replacing the component information corresponding to the segmented images in the initial vehicle component list with the component information of the matched detail images, and not modifying the unmatched segmented images to obtain a final vehicle component list; and outputting a vehicle maintenance scheme according to the final vehicle component list. According to the invention, the situation of wrong matching of the vehicle parts can be reduced, and the matching accuracy is improved.
Description
technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular, to a method, device, device and storage medium for intelligent vehicle loss determination. Background technique [0002] With the rapid development of China's economy, the number of private car ownership is increasing year by year, and the number of vehicle injuries caused by traffic accidents is increasing year by year. The damage claim solution generally needs to use a semantic segmentation algorithm to segment the parts of the vehicle exterior parts in the picture. The vehicle part segmentation module in the original vehicle damage claim solution is likely to cause errors in the direction recognition of the parts for the detailed image. For example, the right rear fender is identified as the left front. Fenders, which in turn affect the erroneous output of repair results. For the original claim settlement plan, the detailed map cannot be accurately...
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IPC IPC(8): G06V10/25G06V10/28G06V10/764G06V10/40G06V10/74G06Q10/00G06Q40/08G06V10/82
CPCG06V10/25G06V10/28G06V10/764G06V10/40G06V10/74G06Q10/20G06Q40/08G06V10/82
Inventor 童新宇刘莉红刘玉宇肖京
Owner PING AN TECH (SHENZHEN) CO LTD