User classification method based on adas (advanced driver assistant system) and obd (on-board diagnostic) data

A classification method, data user technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as unreasonable insurance rates, increase insurance rates, and inability to solve insurance rate differences

Inactive Publication Date: 2017-04-19
杭州好好开车科技有限公司
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] Because the different habits of drivers will affect different risks of driving behavior, and insurance companies and other institutions cannot determine and grasp the risks of drivers, so insurance companies cannot accurately evaluate the insurance odds of drivers, often It causes an unfair and unreasonable premium rate, that is, drivers with good reinforcement habits cannot be reduced or exempted from insurance premiums, and drivers with a high accident rate cannot be given an increase in premium rates; therefore, for Institutions such as insurance companies need a scientific and reasonable evaluation method to accurately measure the driving habits of drivers to determine a reasonable insurance rate
At present, insurance companies have not yet had such a classification that can reasonably evaluate drivers, nor can they solve the problem of insurance rate differentiation

Method used

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  • User classification method based on adas (advanced driver assistant system) and obd (on-board diagnostic) data
  • User classification method based on adas (advanced driver assistant system) and obd (on-board diagnostic) data
  • User classification method based on adas (advanced driver assistant system) and obd (on-board diagnostic) data

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Embodiment 1

[0058] A user classification method based on adas and obd data, the implementation process is as attached figure 1 The flow shown includes the following steps:

[0059] (1) Install adas equipment, obd module, and GPS equipment on the vehicle for data collection; and a communication module for realizing communication with the Internet;

[0060] Among them, the data collected by Adas equipment includes: forward collision warning, pedestrian recognition, lane departure warning, adaptive cruise, automatic emergency braking, automatic parking, blind spot detection, fatigue warning;

[0061] The data collected by the obd module include: rapid acceleration, rapid deceleration, sharp turn, vehicle speed, fault information;

[0062] The data collected by the Gps device includes: longitude, latitude, altitude, speed, mileage, and whether it is outside the fence; the information that can be collected by the sensor data includes but is not limited to: road bumps, vehicle spatial motion a...

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Abstract

The invention discloses an intelligent vehicle-mounted system realization method, and particularly relates to a user classification method based on adas (advanced driver assistant system) and obd (on-board diagnostic) data. An adas device, an obd module, and a Gps device are arranged on the vehicle for acquiring data. A communication module is arranged for realizing communication with the Internet. Through computing the information acquired by the above devices in a scientific computation method, the risk factor and the possibility of a driver can be judged, and a necessary prompt can be given. The method of the invention has the advantages that the risk probability of the driver can be accurately judged for mechanisms such as an insurance company, and the driver is correctly guided to form standard driving and other good habits.

Description

technical field [0001] The invention relates to an implementation method of an intelligent vehicle system, in particular to a user classification method based on adas and obd data. Background technique [0002] Advanced Driver Assistant System (ADAS), referred to as ADAS, is to use various sensors installed on the car to collect environmental data inside and outside the car at the first time, and to identify, detect and track static and dynamic objects And other technical processing, so that the driver can detect possible dangers in the fastest time, so as to attract attention and improve safety active safety technology. The sensors used in ADAS mainly include cameras, radars, lasers and ultrasonics, etc., which can detect light, heat, pressure or other variables used to monitor the state of the car. They are usually located in the front and rear bumpers, side mirrors, inside the steering column or windshield of the vehicle. on the glass. Early ADAS technology was mainly b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2411
Inventor 陈新平许恒锦苏志鹄褚彭军
Owner 杭州好好开车科技有限公司
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