System and method for establishing region division remote damage assessment of different vehicle types based on artificial intelligence
An artificial intelligence, sub-regional technology, applied in instruments, character and pattern recognition, computer parts and other directions, to achieve the effect of improving accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0025] A regional remote damage assessment system for different models based on artificial intelligence, 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 so as to generate a collision model;
[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 the working condition model;
[0030] The area detection subsystem judges the collision area when the vehicle collides; the area detection subsystem learns the area training data to generate an area model.
[0031] The...
Embodiment 2
[0115] A method for establishing regional remote damage assessment of different vehicle models based on artificial intelligence, comprising the following steps:
[0116] Step 1. Select the model data corresponding to the vehicle as the total data set;
[0117] Step 2. Read the CAE simulation data and real vehicle data, and classify the data accordingly;
[0118] Step 3. Determine whether the vehicle collides during driving; learn the collision training data to generate a collision model, and the collision model is established using an intelligent supervised learning linear regression method;
[0119] Step 4. Judging all the working condition information where the collision occurs; learning the working condition training data to generate a working condition model, and the working condition model is established using an intelligent supervised learning linear regression method;
[0120] Step 5. Judging the collision area when the vehicle collides; learning the area training data...
Embodiment 3
[0143] 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.
[0144] 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...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More