• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

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

收录:

EI Scopus

摘要:

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.

关键词:

Cameras Graphic methods Robotics

作者机构:

  • [ 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

通讯作者信息:

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

ISSN: 2274-7214

年份: 2018

卷: 160

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

归属院系:

在线人数/总访问数:1443/2916105
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司