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Pose-graph based 3D map fusion with distributed robot system

  • Harbin Institute of Technology Shenzhen

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

Abstract

Map fusion is an essential and challenging issue in multi-robot simultaneous localization and mapping (SLAM), especially for 3D SLAM applications. In this paper, we propose an efficient pose-graph based approach to fuse several 3D maps built by distributed mobile robotic system. Several robots, each equipped with a Kinect sensor, cooperate to map the operated environment; each of them just scans a part of the environment. A target detection algorithm is presented to help the robot detect other robots during the map building. Key information will be transferred from the detected robot to the detecting robot to build a link between these two robots. And at last, G2O optimization library is applied on the connected pose-graphs to build an optimized map. Experiments are finally performed to demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1608-1613
Number of pages6
ISBN (Electronic)9781479973965
DOIs
StatePublished - 20 Apr 2014
Externally publishedYes
Event2014 IEEE International Conference on Robotics and Biomimetics, ROBIO 2014 - Bali, Indonesia
Duration: 5 Dec 201410 Dec 2014

Publication series

Name2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014

Conference

Conference2014 IEEE International Conference on Robotics and Biomimetics, ROBIO 2014
Country/TerritoryIndonesia
CityBali
Period5/12/1410/12/14

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