Mechanism for preventing premature convergence in robot localization

Chiang Heng Chien*, Chen-Chien James Hsu, Wei-Yen Wang, Wen-Chung Kao

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

In this paper, we propose a new approach to solve the premature convergence problem in Monte Carlo Localization for global localization, entitled "a mechanism for preventing premature convergence". The algorithm uses a referenced relative vector to rearrange weight for each sample, allowing better exploration of a symmetrical environment, resulting in preventing premature convergence problem to converge particles successfully. Simulations have confirmed that the proposed approach can offer notable improvement in the localization performance.

原文英語
主出版物標題5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015
編輯Jose Maria Flores-Arias, Stefan Mozar, Dietmar Hepper, Milan Z. Bjelica, Hans L. Cycon
發行者Institute of Electrical and Electronics Engineers Inc.
頁面445-446
頁數2
ISBN(電子)9781479987481
DOIs
出版狀態已發佈 - 2016 一月 25
事件5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015 - Berlin, 德国
持續時間: 2015 九月 62015 九月 9

出版系列

名字5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015

其他

其他5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015
國家/地區德国
城市Berlin
期間2015/09/062015/09/09

ASJC Scopus subject areas

  • 電腦網路與通信
  • 電腦科學應用
  • 硬體和架構
  • 媒體技術

指紋

深入研究「Mechanism for preventing premature convergence in robot localization」主題。共同形成了獨特的指紋。

引用此