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Author:

Ruan, Xiaogang (Ruan, Xiaogang.) | Liu, Shaoda (Liu, Shaoda.) | Ren, Dingqi (Ren, Dingqi.) | Zhu, Xiaoqing (Zhu, Xiaoqing.)

Indexed by:

EI Scopus

Abstract:

To achieve fully autonomous operation for indoor Mobile Robot. Localization solution has become an active research topic in the past decade. Normally a localization system is required to be reliable, fast, and have high accuracy. But single UWB measurement is very discrete and you can not get the exact orientation of the mobile robot. To overcome these shortcomings, we propose a novel UWB/Gyroscope/Odometer-integrated system, in which UWB measures the distance between the tag and the base station through Time of Flight and then calculating the tag position through the triangulation algorithm. Gyroscope and odometer can get the angular and linear velocity of mobile robot respectively. Which can provide accurate short-term tracking performance. The results of multi-sensor are fused using an Extended Kalman Filter (EKF). The experiment results also show that the algorithm significantly improved accuracy and get reliable yaw angle. © 2018 IEEE.

Keyword:

Indoor positioning systems Extended Kalman filters Mobile robots

Author Community:

  • [ 1 ] [Ruan, Xiaogang]College of Automation, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Ruan, Xiaogang]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 3 ] [Liu, Shaoda]College of Automation, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Liu, Shaoda]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 5 ] [Ren, Dingqi]College of Automation, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Ren, Dingqi]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 7 ] [Zhu, Xiaoqing]College of Automation, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Zhu, Xiaoqing]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China

Reprint Author's Address:

  • [zhu, xiaoqing]beijing key laboratory of computational intelligence and intelligent system, beijing; 100124, china;;[zhu, xiaoqing]college of automation, beijing university of technology, beijing; 100124, china

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Source :

Year: 2018

Page: 839-843

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: 6

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