ROSLAM-A faster algorithm for simultaneous localization and mapping (SLAM)

Teng Wei Huang*, Chen-Chien James Hsu, Wei-Yen Wang, Hansjoerg (Jacky) Baltes

*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

1 引文 斯高帕斯(Scopus)

摘要

Computationally efficient SLAM (CESLAM) has been proposed to solve simultaneous localization and mapping problem in real-time design. CESLAM first uses the landmark measurement with the maximum likelihood to update the particle states and then update their associated landmarks later. This improves the accuracy of localization and mapping by avoiding unnecessary comparisons. This paper describes a modified version of CESLAM called rapidly operations SLAM (ROSLAM) which improves the runtime even further. We present an empirical evaluation of ROSLAM in a simulated environment which shows that it speeds up previous well known algorithms by 100 %.

原文英語
主出版物標題Robot Intelligence Technology and Applications 4 - Results from the 4th International Conference on Robot Intelligence Technology and Applications
編輯Fakhri Karray, Jong-Hwan Kim, Hyun Myung, Jun Jo, Peter Sincak
發行者Springer Verlag
頁面65-74
頁數10
ISBN(列印)9783319312910
DOIs
出版狀態已發佈 - 2017
事件4th International Conference on Robot Intelligence Technology and Applications, RiTA 2015 - Bucheon, 大韓民國
持續時間: 2015 十二月 142015 十二月 16

出版系列

名字Advances in Intelligent Systems and Computing
447
ISSN(列印)2194-5357

其他

其他4th International Conference on Robot Intelligence Technology and Applications, RiTA 2015
國家/地區大韓民國
城市Bucheon
期間2015/12/142015/12/16

ASJC Scopus subject areas

  • 控制與系統工程
  • 電腦科學(全部)

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