Driving behavior evaluation method based on image identification technology

A technology of image recognition and behavior, applied in character and pattern recognition, instruments, finance, etc., can solve the problems that different driving users cannot provide personalized car insurance services, and insurance companies cannot understand the driving habits of drivers, so as to reduce compensation cost, ease of management, and enhanced road safety effects

Inactive Publication Date: 2018-03-09
DALIAN ROILAND SCI & TECH CO LTD
View PDF8 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the insurance company cannot understand the driving habits of the driver,

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Driving behavior evaluation method based on image identification technology
  • Driving behavior evaluation method based on image identification technology
  • Driving behavior evaluation method based on image identification technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] This embodiment provides a method for evaluating driving behavior based on image recognition technology, including:

[0039] S1: determine whether the vehicle is started, if the vehicle is started, perform step S2; if the vehicle is not started, continue to stand by;

[0040] Method 1: The in-vehicle intelligent terminal obtains the running information of the vehicle through the CAN bus and OBD II. When the running state of the vehicle is ignited, it is judged that the vehicle has been started, and step S2 is executed; when the running state of the vehicle is off, it is judged that the vehicle is not Start, continue to stand by;

[0041] Method 2: The in-vehicle intelligent terminal obtains the operation information of the vehicle through the CAN bus and OBD II. When the vehicle collects the vehicle operation data, such as engine speed, battery power and voltage, vehicle sensor data, etc., it is determined that the vehicle has been started, and step S2 is executed, Oth...

Embodiment 2

[0060] As a supplement to Embodiment 1, the above method also includes

[0061] S8: The cloud server periodically calculates and scores the driving data according to the above steps S1-S6, and stores it in the corresponding user account;

[0062] S9: The user checks the driving behavior evaluation in his account through the mobile client (APP, WeChat public account).

[0063] S10: The insurance company can view the driving behavior evaluation and data details of the corresponding user through the operation management system or API interface connected to the cloud server, and the insurance company can process differentiated premiums accordingly.

Embodiment 3

[0065] As a further supplement to Example 1 or 2,

[0066] The GPS positioning information: obtain the GPS positioning information of the vehicle through the GPS sensor of the vehicle-mounted intelligent terminal or the aided positioning function of Beidou or GLONASS AGPS;

[0067] The real-time road condition information: obtain the real-time road condition information of the corresponding road section by obtaining the GPS positioning information, through the wireless communication module, and accessing the real-time road condition API of the map provider;

[0068] The mileage information: the vehicle information data is read through the vehicle-mounted intelligent terminal to obtain the total mileage, and the difference between the total mileage of a segment is the mileage of the segment; or the mileage is calculated through GPS data;

[0069] The fuel consumption information: obtain the vehicle fuel consumption information by obtaining the vehicle intranet bus data through ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a driving behavior evaluation method based on the image identification technology. The method comprises steps that S1, whether a vehicle starts is determined, if the vehicle starts, a S2 is performed; if the vehicle does not start, a standby state continues; S2, the sensor information of the vehicle is acquired, the sensor information is comprehensively determined and analyzed to acquire vehicle driving data; S3, the image information of objects around the vehicle is acquired, and distances of the objects around the vehicle relative to the vehicle are calculated; S4, classification processing of the identified objects and the identified images is carried out, and corresponding data is recorded; and S5, the vehicle driving data acquired in the S2 and the image identification classification data of the S4 are uploaded to a cloud server and are stored in a database DataBase. The method is advantaged in that key driving safety factors can be visually detected and evaluated, a mode of rule reforming for risk understanding through indexes utilized by traditional declaration forms is not employed, and compensation cost of an insurance company is reduced.

Description

technical field [0001] The invention relates to the application field of automobile electronic equipment and insurance, in particular to a method for evaluating driving behavior based on image recognition technology. Background technique [0002] Traditional auto insurance mainly serves the process of claim settlement of vehicle accidents, and rarely provides personalized value-added services for drivers. Because insurance companies cannot understand the driving habits of drivers, they cannot provide personalized car insurance services for different driving users. [0003] Compared with traditional auto insurance, the Internet of Vehicles device is used to obtain the driving data of the car owner, and the driving habits, driving behavior, mileage and other data of the car owner are analyzed to determine the safety level of the driver, and give different premium discounts to car owners with different safety levels. , is a differentiated rate auto insurance, that is, auto UBI...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06Q40/08G09B19/16
CPCG06Q40/08G09B19/167G06V20/56G06V20/597
Inventor 田雨农于丹吴振毅
Owner DALIAN ROILAND SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap