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An improved serial method for mobile robot SLAM

  • Weina Xi
  • , Yongsheng Ou
  • , Wei Feng
  • , Gang Yu

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

Abstract

Computational cost and real-Time performance are important factors that many algorithms need to consider. For this purpose, this paper proposes an improved serial implementation strategy of mobile robot SLAM by combining Fast Fourier Transformation (FFT) and Iterative Closest Point (ICP) which is named FFT-ICP. We use FFT to localize coarsely and then use the results of FFT as the initial values of ICP to localize precisely. The experiments show that the method proposed here not only can speed up the operation, but also has higher precision through combining FFT and ICP. In addition, this method compromises the pros and cons of FFT and ICP. This technique is proven to be helpful for constructing an on-line SLAM system.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538637418
DOIs
StatePublished - 2 Jul 2017
Externally publishedYes
Event2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017 - Macau, China
Duration: 5 Dec 20178 Dec 2017

Publication series

Name2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
Volume2018-January

Conference

Conference2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
Country/TerritoryChina
CityMacau
Period5/12/178/12/17

Keywords

  • FFT-ICP
  • SLAM
  • computational cost
  • mobile robot
  • real-Time
  • serial

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