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Author:

Wang, Fei (Wang, Fei.) | Ruan, Xiaogang (Ruan, Xiaogang.) | Dong, Pengfei (Dong, Pengfei.) | Sie, Ouattara (Sie, Ouattara.)

Indexed by:

EI Scopus

Abstract:

In this paper, a micro SLAM system based on ORB features for RGB-D cameras has been proposed. With only a RGB-D sensor, this method can be applied in small environment for localization and mapping. Furthermore, the task of 3D reconstruction can also be accomplished by using the approach. The pose graph based on Bundle Adjustment is adopted for reducing the estimation error. In order to further speed up computing to meet the requirement of real-time, we have proposed the piecewise optimization strategy. The approach is evaluated on public benchmark datasets. Compared with several state-of-the-art scheme, this method has proven to work well in these environments. © The Authors, published by EDP Sciences, 2018.

Keyword:

Cameras Robotics Graphic methods

Author Community:

  • [ 1 ] [Wang, Fei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Wang, Fei]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 3 ] [Ruan, Xiaogang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Ruan, Xiaogang]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 5 ] [Dong, Pengfei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Dong, Pengfei]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 7 ] [Sie, Ouattara]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Sie, Ouattara]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China

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Source :

ISSN: 2274-7214

Year: 2018

Volume: 160

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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