Method for rapidly measuring distance between multiple moving objects based on machine vision

A multi-moving target and ranging method technology, which is applied in the field of fast ranging of multi-moving targets based on machine vision, can solve problems such as the inability to measure multiple moving targets, and achieve the effect of improving accuracy and fast ranging speed

Active Publication Date: 2018-02-27
FUZHOU UNIV
View PDF16 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, other existing ETA systems based on machine vision still rely on an additional rangefinder for distance measurement, and cannot simultaneously measure distances for multiple moving targets
Aiming at the deficiencies of the existing ETA system, the present invention solves the real-time and recognition problems in the core detection and distance measurement module in ETA from the new angle of combining target detection algorithm and regression distance measurement

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
  • Method for rapidly measuring distance between multiple moving objects based on machine vision
  • Method for rapidly measuring distance between multiple moving objects based on machine vision
  • Method for rapidly measuring distance between multiple moving objects based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0035] A kind of multi-moving target fast ranging method based on machine vision of the present invention comprises the following steps,

[0036] S1. Collection of training and test image data sets: collect image data of object categories that have a greater impact on the travel of blind people, and divide the collected data into three parts, which are training set, test set and side test set, of which the side test set is used To evaluate the impact of different camera angles on ranging;

[0037] S2. Target recognition: use convolutional neural network for target recognition, fine-tune the basic classification network to improve accuracy, use different levels of feature maps for detection to adapt to target objects of different sizes, and use the default detection frame mechanism to discretize the output frame;

[0038] S3. Manual labe...

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 method for rapidly measuring a distance between multiple moving objects based on machine vision. The method comprises the following steps: fitting a ground truth box in an image training set and actual distance, storing a distance measuring model, performing height extraction on a bounding box generated by a specific target by a real-time detection algorithm SSD (singleshot multibox detector) and inputting into the distance measuring model so as to acquire the measuring distance between multiple objects. According to the multi-moving-object rapid identification anddistance measurement method, the specific multiple objects can be subjected to identification and distance measurement efficiently in real time. Compared with other ETA (electronic travel aids) distance-measuring systems, the method is more practical and has a good application prospect and an application value of actual engineering.

Description

technical field [0001] The invention relates to a machine vision-based fast distance measuring method for multiple moving targets. Background technique [0002] Today, there are 75 million visually impaired people in our country, whose life and travel are greatly troubled by their visual impairment. The emergence of the Electronic Travel Aids (ETA, Electronic Travel Aids) system to help the blind has brought great convenience to the blind. Among them, obstacle detection and distance measurement are the key technologies in the ETA system, and the accuracy and real-time performance of detection and recognition are the measures. An important symbol of the practicability of the ETA system is also a difficult problem to be solved urgently. [0003] In the past non-computer vision fields, most of them used laser, infrared, and ultrasonic ranging methods. However, its ranging distance is short, the beam is narrow, obstacles cannot be identified, and multiple targets can only be d...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/20G06K9/00
CPCG01C21/20G06V20/00
Inventor 吴丽君吴晓烽陈志聪文吉成林培杰程树英
Owner FUZHOU UNIV
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