Enhanced mapping of multi-robot using distortion reducing filter based SIFT

  • Kyung Sik Choi
  • , Yoon Gu Kim
  • , Jinung An
  • , Suk Gyu Lee

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

Abstract

This paper proposes an enhanced mapping of multi-robot using a DSIFT to reduce the mapping calculation time. In this approach, the master robot transmits each robot's mapping information in SLAM by DSIFT, which incorporates an additional step on the SIFT. The DSIFT uses a keypoint to reduce the distortional information throughout the Gaussian filter after the step of the image descriptor. The master robot calculates the slave robot's pose using picture images, and serves the results to all the robots. Simulation results are presented based on DSIFT showing better performance than using the SIFT in multi-robot mapping situations.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - First International Conference, ICSI 2010, Proceedings
Pages651-658
Number of pages8
EditionPART 1
DOIs
StatePublished - 2010
Event1st International Conference on Advances in Swarm Intelligence, ICSI 2010 - Beijing, China
Duration: 12 Jun 201015 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6145 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Advances in Swarm Intelligence, ICSI 2010
Country/TerritoryChina
CityBeijing
Period12/06/1015/06/10

Keywords

  • DSIFT
  • Mapping
  • Multi-robot
  • SIFT

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