Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A vehicle automatic classification method and a related device

An automatic classification and vehicle technology, applied in the field of vehicle detection, can solve the problems of low accuracy of automatic vehicle detection, low accuracy of automatic operation, and inability to detect correctly, so as to enhance diversity and integrity, overcome low accuracy, and improve effect of effect

Active Publication Date: 2019-06-18
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL +1
View PDF13 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Known vehicle target detection and classification methods based on machine learning methods cannot correctly detect and distinguish vehicle models in practical applications, and the accuracy of automatic vehicle detection is low, resulting in vehicle video retrieval and vehicle classification statistics based on vehicle detection. Automated operations are less accurate

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
  • A vehicle automatic classification method and a related device
  • A vehicle automatic classification method and a related device
  • A vehicle automatic classification method and a related device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] refer to figure 1 , figure 1 It is a method flowchart of a specific embodiment of the automatic vehicle classification method in the present invention, and the automatic vehicle classification method includes:

[0058] S1. The step of obtaining the vehicle sample set: obtaining images of vehicles of different vehicle types such as different vehicle models as vehicle image samples, and performing image appearance expansion according to the vehicle image samples and / or vehicle models to obtain the vehicle sample set;

[0059] S2. Training step of the vehicle target detection model: training the vehicle target detection model according to the vehicle sample set;

[0060] S3. Training step of the vehicle target feature representation model: training the vehicle target feature representation model according to the vehicle sample set;

[0061] S4. Vehicle target detection step: obtain the vehicle target to be classified according to the vehicle image to be classified and the ...

Embodiment 2

[0104] Provide embodiment 2 based on embodiment 1, embodiment 2 proposes a kind of vehicle automatic classification device, comprises:

[0105] A vehicle sample set acquisition unit, configured to perform image appearance expansion according to vehicle image samples and / or vehicle models to obtain a vehicle sample set;

[0106] The vehicle target detection model training unit is used to train the vehicle target detection model according to the vehicle sample set;

[0107] The vehicle target feature representation model training unit is used to train the vehicle target feature representation model according to the vehicle sample set;

[0108] The vehicle target detection unit is used to obtain the vehicle target to be classified according to the vehicle image to be classified and the vehicle target detection model;

[0109] The vehicle classification unit is used to obtain the classification result of the vehicle according to the vehicle object to be classified and the vehicle...

Embodiment 3

[0121] A vehicle automatic classification device, comprising:

[0122] at least one processor; and a memory communicatively coupled to the at least one processor; wherein,

[0123] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the automatic vehicle classification method. For the automatic vehicle classification method, refer to the description of Embodiment 1, and details are not repeated here.

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 discloses a vehicle automatic classification method and a related device. Image appearance expansion is performed according to the vehicle image sample and / or the vehicle model to obtainthe vehicle sample set, so that the diversity and integrity of training samples are enhanced, the accuracy of subsequent vehicle target detection and classification is further improved, and the technical problem of low accuracy of a vehicle detection method in the prior art is solved.

Description

technical field [0001] The invention relates to the field of vehicle detection, in particular to a vehicle automatic classification method and a related device. Background technique [0002] Automatic vehicle detection has important applications in real life. By detecting the vehicle target and distinguishing its model and corresponding stored data, the fast video retrieval of the vehicle can be realized; the corresponding video abstract with semantic information can also be generated for the traffic video; the classification statistics of the vehicle can also be realized; it is convenient Toll collection and management of parking lots and highways; it is convenient for automatic detection and identification of vehicles in front during automatic driving, so as to control active avoidance and other operations when necessary. [0003] Known vehicle target detection and classification methods based on machine learning methods cannot correctly detect and distinguish vehicle mod...

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): G06K9/62
Inventor 徐勇王俊茜刘晓阳钟启兴
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products