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SLAM for Planar Mobile Robot

  • Liu Cheng
  • , Wang Junping
  • , Zhang Zhaohui
  • , Bian Xu
  • , Mei Xuesong
  • Xi'an Jiaotong University
  • Shaanxi Key Laboratory of Intelligent Robots

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

F372 faster process speed and higher accuracy of RGB-D SLAM of planar mobile robot, the new method improved the traditional method of ORB feature detection and match based on the image segmentation. Our method considering the features of planar robots, simplify the feature match process and PnP pose transform matrix of neighbor fames. It evaluates the motion planar of robot while SLAM system running, which is used for the optimization and simplification later. Using color images and cooperating depth images, it can easily get the height of each extracted feature points and divide those points in several groups to reduce wrong match and accelerate match speed.

Original languageEnglish
Title of host publicationProceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1239-1242
Number of pages4
ISBN (Electronic)9781538618035
DOIs
StatePublished - 20 Sep 2018
Externally publishedYes
Event2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018 - Xi'an, China
Duration: 25 May 201827 May 2018

Publication series

NameProceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

Conference

Conference2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
Country/TerritoryChina
CityXi'an
Period25/05/1827/05/18

Keywords

  • Kinect
  • RGB-D
  • Robot
  • SLAM
  • computer visual

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