Feature extracted algorithm for simultaneous localization and mapping (SLAM)

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

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題2015 IEEE International Conference on Consumer Electronics, ICCE 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面497-498
頁數2
ISBN(電子)9781479975426
DOIs
出版狀態已發佈 - 2015 三月 23
事件2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, 美国
持續時間: 2015 一月 92015 一月 12

出版系列

名字2015 IEEE International Conference on Consumer Electronics, ICCE 2015

其他

其他2015 IEEE International Conference on Consumer Electronics, ICCE 2015
國家美国
城市Las Vegas
期間15/1/915/1/12

    指紋

ASJC Scopus subject areas

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

引用此

Shih, Y. J., Hsu, C-C. J., Wang, W-Y., & Wang, Y. T. (2015). Feature extracted algorithm for simultaneous localization and mapping (SLAM). 於 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 (頁 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