Accurate Positioning for Refueling Plug with Coarse-to-fine Registration and Pose Correction*

  • Jinyue Bian
  • , Xin Wang
  • , Zhiyu Liao
  • , Hongbin Ma*
  • *Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Automatic refueling robot can free people from heavy work. However, work on the pose estimation of the refueling plug is relatively sparse. To this end, a novel precise positioning method for 6-DoF (Six-Degrees of Freedom) pose of the refueling plug is introduced based on coarse-to-fine template matching and pose correction. The coarse registration matrix is constructed by extracting 3D keypoints at the edge of the point cloud and combining with the geometric characteristics of the refueling plug. On the basis of coarse registration, fine registration is performed by aligning the main direction of the refueling plug handle. Through template matching, the grab coordinate system is constructed on the handle of the refueling plug, and the pose is corrected by modifying the grab coordinate system. The developed algorithm avoids building a large template library and reduces computing requirements. In addition, the accuracy and robustness of the 6-DoF pose estimation are proved on the automatic refueling robot.

Original languageEnglish
Title of host publicationProceedings - 2022 Chinese Automation Congress, CAC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2433-2438
Number of pages6
ISBN (Electronic)9781665465335
DOIs
Publication statusPublished - 2022
Event2022 Chinese Automation Congress, CAC 2022 - Xiamen, China
Duration: 25 Nov 202227 Nov 2022

Publication series

NameProceedings - 2022 Chinese Automation Congress, CAC 2022
Volume2022-January

Conference

Conference2022 Chinese Automation Congress, CAC 2022
Country/TerritoryChina
CityXiamen
Period25/11/2227/11/22

Keywords

  • 6-DoF pose estimation
  • coarse-to-fine template matching
  • coordinate system transformation
  • grab coordinate system
  • pose correction

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