Feature extracted algorithm for simultaneous localization and mapping (SLAM)

Yan Jhang Shih, Chen-Chien James Hsu, Wei-Yen Wang, Yin Tien Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The problem of SLAM is still a challenging issue. When the number of landmarks increases, the accuracy of the estimated location of the robot decreases. Therefore, current measurement is filtered to avoid wrong landmarks. Then, triangulation is used to update the robot's pose. Simulation results show the success of the proposed algorithm.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics, ICCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages497-498
Number of pages2
ISBN (Electronic)9781479975426
DOIs
Publication statusPublished - 2015 Mar 23
Event2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States
Duration: 2015 Jan 92015 Jan 12

Publication series

Name2015 IEEE International Conference on Consumer Electronics, ICCE 2015

Other

Other2015 IEEE International Conference on Consumer Electronics, ICCE 2015
CountryUnited States
CityLas Vegas
Period15/1/915/1/12

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Shih, Y. J., Hsu, C-C. J., Wang, W-Y., & Wang, Y. T. (2015). Feature extracted algorithm for simultaneous localization and mapping (SLAM). In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 (pp. 497-498). [7066497] (2015 IEEE International Conference on Consumer Electronics, ICCE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2015.7066497