Research on visual SLAM method of mobile robot based on improved ORB algorithm

Taking mobile robot visual navigation as the application background, an improved ORB algorithm is proposed to solve the problems of feature points unevenly distributing and too many redundant features in visual SLAM. Firstly, the scale-space pyramid of each image is meshed to increase the scale info...

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Main Authors: Cheng Yi, Tong Xiaoyu
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2019-01-01
Series:Dianzi Jishu Yingyong
Subjects:
Online Access:http://www.chinaaet.com/article/3000096111
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author Cheng Yi
Tong Xiaoyu
author_facet Cheng Yi
Tong Xiaoyu
author_sort Cheng Yi
collection DOAJ
description Taking mobile robot visual navigation as the application background, an improved ORB algorithm is proposed to solve the problems of feature points unevenly distributing and too many redundant features in visual SLAM. Firstly, the scale-space pyramid of each image is meshed to increase the scale information. Secondly, feature points are detected, using improved FAST corner points adaptive extraction and setting region of interest. Thirdly, non-maximum suppression method is used to suppress the output low threshold feature points. Finally, feature points variance values based on region image is used to evaluate of distribution feature points in images. Experiments verify that the improved ORB algorithm has more uniform distribution, fewer output overlapping feature points and shorter run time.
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spelling doaj.art-50793e3878214076900316bdedb874812022-12-22T02:38:04ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982019-01-01451101310.16157/j.issn.0258-7998.1830463000096111Research on visual SLAM method of mobile robot based on improved ORB algorithmCheng Yi0Tong Xiaoyu1Electronic Engineering and Automation,Tianjin Polytechnic University,Tianjin 300387,ChinaElectronic Engineering and Automation,Tianjin Polytechnic University,Tianjin 300387,ChinaTaking mobile robot visual navigation as the application background, an improved ORB algorithm is proposed to solve the problems of feature points unevenly distributing and too many redundant features in visual SLAM. Firstly, the scale-space pyramid of each image is meshed to increase the scale information. Secondly, feature points are detected, using improved FAST corner points adaptive extraction and setting region of interest. Thirdly, non-maximum suppression method is used to suppress the output low threshold feature points. Finally, feature points variance values based on region image is used to evaluate of distribution feature points in images. Experiments verify that the improved ORB algorithm has more uniform distribution, fewer output overlapping feature points and shorter run time.http://www.chinaaet.com/article/3000096111mobile robotvisual navigationvisual SLAMimproved ORB algorithm
spellingShingle Cheng Yi
Tong Xiaoyu
Research on visual SLAM method of mobile robot based on improved ORB algorithm
Dianzi Jishu Yingyong
mobile robot
visual navigation
visual SLAM
improved ORB algorithm
title Research on visual SLAM method of mobile robot based on improved ORB algorithm
title_full Research on visual SLAM method of mobile robot based on improved ORB algorithm
title_fullStr Research on visual SLAM method of mobile robot based on improved ORB algorithm
title_full_unstemmed Research on visual SLAM method of mobile robot based on improved ORB algorithm
title_short Research on visual SLAM method of mobile robot based on improved ORB algorithm
title_sort research on visual slam method of mobile robot based on improved orb algorithm
topic mobile robot
visual navigation
visual SLAM
improved ORB algorithm
url http://www.chinaaet.com/article/3000096111
work_keys_str_mv AT chengyi researchonvisualslammethodofmobilerobotbasedonimprovedorbalgorithm
AT tongxiaoyu researchonvisualslammethodofmobilerobotbasedonimprovedorbalgorithm