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System and method for establishing regional remote damage assessment of different vehicle models on the basis of artificial intelligence unsupervised learning FuzzyC-Means clustering algorithm

A technology of unsupervised learning and clustering algorithm, applied in computing, computer components, instruments, etc., to achieve the effect of improving accuracy

Inactive Publication Date: 2016-11-09
DALIAN ROILAND SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of area detection after a vehicle collision, the present invention proposes a fuzzyC-Means clustering algorithm based on artificial intelligence unsupervised learning to establish a remote damage assessment system and method for different vehicle types in different areas, so as to realize area detection in the damage assessment process

Method used

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  • System and method for establishing regional remote damage assessment of different vehicle models on the basis of artificial intelligence unsupervised learning FuzzyC-Means clustering algorithm
  • System and method for establishing regional remote damage assessment of different vehicle models on the basis of artificial intelligence unsupervised learning FuzzyC-Means clustering algorithm
  • System and method for establishing regional remote damage assessment of different vehicle models on the basis of artificial intelligence unsupervised learning FuzzyC-Means clustering algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] A FuzzyC-Means clustering algorithm based on artificial intelligence unsupervised learning to establish a regional remote damage assessment system for different models, including:

[0026] The model selection subsystem selects the model data corresponding to the vehicle as the total data set;

[0027] The data classification subsystem reads CAE simulation data and real vehicle data, and classifies the data accordingly;

[0028] The collision detection subsystem judges whether the vehicle collides in the driving process; the collision detection subsystem learns the collision training data to generate a collision model, and the collision model is established using an intelligent unsupervised learning FuzzyC-Means clustering algorithm;

[0029] The working condition detection subsystem judges all the working condition information of the collision; the working condition detection subsystem learns the working condition training data so as to generate the working condition mo...

Embodiment 2

[0052] An artificial intelligence unsupervised learning FuzzyC-Means clustering algorithm is used to establish a remote damage assessment method for different vehicle types in different regions, including the following steps:

[0053] Step 1. Select the model data corresponding to the vehicle as the total data set;

[0054] Step 2. Read the CAE simulation data and real vehicle data, and classify the data accordingly;

[0055] Step 3. judge whether vehicle collides in driving process; Described collision detection subsystem learns collision training data so as to generate collision model, and described collision model establishes and uses intelligent unsupervised learning FuzzyC-Means clustering algorithm;

[0056] Step 4. Judging all working condition information that collision occurs; Described working condition detection subsystem learns working condition training data so as to generate working condition model, and described working condition model sets up using intelligent ...

Embodiment 3

[0094] Example 3: Have the technical scheme identical with embodiment 1 or 2, more specifically:

[0095] The overall data set in the above scheme: all are CAE simulation data and sports car data; it is divided into three parts as follows

[0096] 1. Training data set: it is used to train the model or determine the model parameters (CAE simulation data and sports car data).

[0097] 2. Verification data set: It is used for model selection (model selection), that is, for the final optimization and determination of the model (CAE simulation data and sports car data).

[0098] 3. Test data set: it is purely to test the generalization ability of the trained model. (CAE simulation data and sports car data).

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Abstract

The invention discloses a system and a method for establishing the regional remote damage assessment of different vehicle models on the basis of an artificial intelligence unsupervised learning FuzzyC-Means clustering algorithm, and belongs to the field of vehicle damage assessment. In order to solve the problem of regional detection after vehicle crashes, the system has the technical key points that the system comprises a regional detection subsystem, wherein the regional detection subsystem judges a crashed region when the vehicle crashes, and learns region training data so as to generate a region model, and the region model establishes and uses the intelligence unsupervised learning FuzzyC-Means clustering algorithm. The system has the following beneficial effects: by use of the technical scheme, the regional detection of a vehicle crash can be realized, a machine learning method is used in the technical field of remote damage assessment, and therefore, discrimination accuracy is improved by the targeted machine learning method in a damage assessment process.

Description

technical field [0001] The invention belongs to the field of vehicle damage assessment, and relates to a remote damage assessment system and method for different vehicle models based on FuzzyC-Means clustering algorithm based on artificial intelligence unsupervised learning. Background technique [0002] Aiming at the problem of claim settlement disputes caused by frequent collisions of vehicles during low-speed movement (including low-speed road driving, vehicle parking, etc.), the remote damage assessment technology collects various signals (such as speed, acceleration, angular velocity, Sound, etc.) and analyzed with signal processing and machine learning techniques to determine whether a collision has occurred and the damage to the vehicle after the collision. [0003] After a vehicle collision accident, the front-end equipment can detect the occurrence of the collision and intercept the signal of the collision process, and send it to the cloud through the wireless netwo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23213G06F18/24G06F18/214
Inventor 田雨农刘俊俍
Owner DALIAN ROILAND SCI & TECH CO LTD
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