Vehicle model identification method

A vehicle identification and vehicle type technology, applied in the field of vehicle management, can solve the problems of low splicing accuracy, angle error, cumbersome deployment and installation, etc., to achieve the effect of convenient deployment and installation

Active Publication Date: 2020-10-30
上海福赛特智能科技有限公司
View PDF7 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the depth distance of different moving objects is a dynamic variable, the angle error caused by the non-parallel driving of the vehicle along the roadside, a

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
  • Vehicle model identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to make the purpose, technical solution and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0034] as attached figure 1 As shown, a kind of vehicle identification method provided by the present invention comprises the following steps:

[0035] S01: The vehicle enters the shooting range of the camera, the camera captures M frames of vehicle images, and transmits the M frames of vehicle images to the synthesis unit; the angle between the centerline of the camera's field of view and the lane is any value between 80 degrees and 100 degrees, M is an integer greater than 0. Preferably, the angle between the centerline of the camera's field of view and the lane is 90 degrees, and the field of view boundary of the camera in the present invention cannot cover the side panorama of the vehicle. Therefore, the camera needs to...

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 type recognition method, and the method comprises the following steps that S01, a vehicle enters into a photographing range of a camera, and the camera captures M frames of vehicle images, and transmits the M frames of vehicle images to a synthesis unit; S02, the synthesis unit splices the shot M frames of vehicle images into a complete vehicle side view, and transmits the vehicle side view to a feature extraction unit; S03, the feature extraction unit outputs vehicle types, axle information and vehicle length information and transmits the vehicle types, the axle information and the vehicle length information to a vehicle type establishing unit; S04, the vehicle model establishing unit outputs vehicle model information according to the vehicle type, the axle information and the vehicle length information. According to the invention, vehicle feature points can be accurately captured, vehicle side images can be rapidly restored, and vehicle model identification can be accurately carried out.

Description

technical field [0001] The invention relates to the field of vehicle management, in particular to a vehicle type identification method. Background technique [0002] With the intelligent development of vehicle management, vehicle type identification becomes more and more important. In the vehicle management system, it is necessary to judge the specific information of the vehicle based on the vehicle model information before proceeding to the next step; for example, the new regulations of the Ministry of Communications stipulate that toll charges for high-speed vehicles need to be determined based on the vehicle model based on the vehicle length, axle and number of passengers . The premise of vehicle type recognition is to obtain the vehicle image, and then carry out vehicle type information identification based on the vehicle image. [0003] For the acquisition of vehicle images in the prior art, the following two methods are usually adopted: (1) a close-up camera is insta...

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): G06K9/00G06K9/32G06T7/60
CPCG06T7/60G06T2207/10016G06T2207/30252G06V20/584G06V20/62G06V20/625G06V2201/08
Inventor 何幕峰曹端贵蒋思怡
Owner 上海福赛特智能科技有限公司
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