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Remote automatic damage assessment and collision detection method and system for vehicle

A collision detection and vehicle technology, applied in the directions of registration/indication of vehicle operation, instrument, character and pattern recognition, etc., can solve the problems of increasing insurance claim costs, claim disputes, strong subjectivity, etc., to reduce insurance fraud and collisions The effect of high detection accuracy and improved timeliness

Inactive Publication Date: 2016-09-28
DALIAN ROILAND SCI & TECH CO LTD
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AI Technical Summary

Problems solved by technology

After the collision, the manual loss determination method adopted by the insurance company in the claim settlement process is highly subjective and often leads to claim settlement disputes
In addition, traditional damage assessment requires vehicle dismantling for the accuracy of accident vehicle damage assessment, which also increases the cost of insurance claims

Method used

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  • Remote automatic damage assessment and collision detection method and system for vehicle

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Effect test

Embodiment 1

[0028] The invention provides a vehicle remote automatic damage determination and collision detection method, including:

[0029] S1: The step of establishing a collision detection model. By analyzing the different characteristics of the signals generated by the vehicle when a collision occurs under different working conditions, vehicle speeds, angles, and vehicle types, a collision detection model that describes the collision process is established.

[0030] S2: The step of training the collision detection model. Through the simulation calculation of the collision detection model, the signal characteristics of the collision detection judgment are determined. With machine learning algorithms such as SVM (support vector machine) and random forest as the core, the simulation data and actual measurement data are used as the core. Learning data, establishing a parameter model for automatically judging collisions through learning, and then storing the parameter model as computer kno...

Embodiment 2

[0035] The present invention also provides a vehicle remote automatic damage determination and collision detection system, comprising:

[0036] The collision detection model uses the data collection information of on-board sensor equipment, uses the time domain and frequency domain characteristics of signals such as speed, acceleration, and angular velocity as description parameters, and adds time, location, audio, image and other related environmental information as auxiliary parameters. A comprehensive description of the collision process;

[0037] Collision detection training model, parameter optimization and empirical data analysis of different machine learning methods such as SVM (support vector machine) and random forest;

[0038] The collision primary detection model, through the actual measurement and simulation collision data, sets the collision multi-field value judgment, and detects and extracts the occurrence or suspected collision signal;

[0039] Collision detec...

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Abstract

The invention provides a remote automatic damage assessment and collision detection method and system for a vehicle. The method includes the steps of establishment of a collision detection module, training of the collision detection module, preliminary collision detection, collision signal acquisition and secondary collision detection and judgment. The method and system are designed targeted to variability of multiple factors in the determining process of a damage-level judgment model, time and place of vehicle collision can be automatically judged at the second level, therefore the insurance fraud phenomena of forged accidents in the vehicle claim process are reduced, and meanwhile timeliness of settlement of insurance claims is improved.

Description

technical field [0001] The invention belongs to the field of remote automatic damage assessment of vehicles, in particular to a vehicle remote automatic damage assessment collision detection method and system. Background technique [0002] Low-speed vehicle movement, including low-speed road driving, vehicle parking, etc. Collision accidents during low-speed movement are the largest category of traffic accidents. After the collision, the manual loss determination method adopted by the insurance company in the claim settlement process is highly subjective and often leads to claim settlement disputes. In addition, traditional damage assessment requires vehicle dismantling for the accuracy of accident vehicle damage assessment, which also increases the cost of insurance claims. The remote automatic loss assessment system, on the one hand, solves the subjectivity of loss assessors and reduces the probability of joint insurance fraud; on the other hand, it can avoid the cost of...

Claims

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Application Information

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IPC IPC(8): G07C5/00G07C5/08G06K9/62
CPCG07C5/008G07C5/08G06F18/2411
Inventor 田雨农张虹
Owner DALIAN ROILAND SCI & TECH CO LTD
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