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Author:

Jia, Songmin (Jia, Songmin.) (Scholars:贾松敏) | Yang, Hao (Yang, Hao.) | Li, Xiuzhi (Li, Xiuzhi.) | Fu, Wei (Fu, Wei.)

Indexed by:

EI Scopus

Abstract:

As we all know that, SLAM (Simultaneous Localization and Mapping) are vital for mobile robot. This paper presents a method of map building using interactive GUI (Graphical User Interface) for an indoor service mobile robot because of the uncertainty of the sensors. What's more, the operator can modify the map compared with the real-time video from the web camera of the mobile robot. In the proposed system, EKF (Extended Kalman Filter) was used to improve the precision of self-localization of the mobile robot. This paper also introduces the architecture of the proposed system and gives some experimental results. © 2010 IEEE.

Keyword:

Mobile robots Extended Kalman filters Indoor positioning systems Graphical user interfaces Robotics Data processing Data handling

Author Community:

  • [ 1 ] [Jia, Songmin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Yang, Hao]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Li, Xiuzhi]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Fu, Wei]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

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Source :

Year: 2010

Page: 1308-1313

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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