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Regional and remote damage-assessment system and method established based on artificial-intelligence supervised learning linear regression method for different types of vehicles

A supervised learning and linear regression technology, which is applied in the fields of instruments, electrical digital data processing, finance, etc., to achieve the effect of improving accuracy

Inactive Publication Date: 2016-10-26
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 supervised learning linear regression method based on artificial intelligence 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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  • Regional and remote damage-assessment system and method established based on artificial-intelligence supervised learning linear regression method for different types of vehicles
  • Regional and remote damage-assessment system and method established based on artificial-intelligence supervised learning linear regression method for different types of vehicles
  • Regional and remote damage-assessment system and method established based on artificial-intelligence supervised learning linear regression method for different types of vehicles

Examples

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Embodiment 1

[0025] A supervised learning linear regression method based on artificial intelligence 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 during driving; the collision detection subsystem learns the collision training data to generate a collision model, and the collision model is established using an intelligent supervised learning linear regression method;

[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 to generate a working condition model, and the working condition model i...

Embodiment 2

[0053] An artificial intelligence-based supervised learning linear regression method to establish a regional remote damage assessment method for different vehicle models, comprising the following steps:

[0054] Step 1. Select the model data corresponding to the vehicle as the total data set;

[0055] Step 2. Read the CAE simulation data and real vehicle data, and classify the data accordingly;

[0056] Step 3. Judging whether the vehicle collides during driving; the collision detection subsystem learns the collision training data to generate a collision model, and the collision model is established using an intelligent supervised learning linear regression method;

[0057] Step 4. Judging all the working condition information where the collision occurs; the working condition detection subsystem learns the working condition training data to generate a working condition model, and the working condition model is established using an intelligent supervised learning linear regress...

Embodiment 3

[0094] This embodiment supplements the supervised learning linear regression method described in embodiment 1 or 2, and uses the linear regression method of supervised learning. In statistics, linear regression utilizes the least squares function called the linear regression equation A type of regression analysis that models the relationship between one or more independent variables and a dependent variable. The goal of the regression problem is to give a D-dimensional input variable x, and each input vector x has a corresponding value y, and it is required to predict its corresponding continuous target value t for the new data. In this system, x refers to the signal data extracted by the preprocessing module, and y refers to the damage level label / working condition label / collision label.

[0095] Common terms in the above learning process: the overall data set is called the training set; the input variable x is the feature; the output predicted value y is the target value; th...

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Abstract

Provided are a regional and remote damage-assessment system and method established based on an artificial-intelligence supervised learning linear regression method for different types of vehicle, pertaining to the field of vehicle damage assessment. In order to achieve regional detection after vehicles collide to each other, the system comprises a regional detection subsystem for determining the regions where vehicles collide and for learning regional training data to generate a regional model. The regional model is set up by using the artificial-intelligence supervised learning linear regression method. The remote damage-assessment system and method have following beneficial effects: through the above technical scheme, regional detection of collided vehicle types is achieved; a machine learning method is used in the technical field of remote damage-assessment; and as for the machine learning method, determination accuracy is improved during a damage-assessment process.

Description

technical field [0001] The invention belongs to the field of vehicle damage assessment, and relates to a system and method for establishing regional remote damage assessment for different vehicle types based on a supervised learning linear regression method of artificial intelligence. 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 wire...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06K9/62G06Q40/08
CPCG06Q40/08G06F30/367G06F18/24
Inventor 田雨农刘俊俍
Owner DALIAN ROILAND SCI & TECH CO LTD
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