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作者:

Jia, Songmin (Jia, Songmin.) (学者:贾松敏) | Cui, Wei (Cui, Wei.) | Li, Xiuzhi (Li, Xiuzhi.) | Shen, Hongmin (Shen, Hongmin.) | Sheng, Jinbo (Sheng, Jinbo.)

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EI Scopus

摘要:

In this paper, an effective 3D map building approach based on range data from binocular stereo vision sensor and Laser Range Finder is introduced in detail. First of all, a local map temporal integration approach in which Bayesian filter based dynamic occupancy grid map modeling technique is employed to reasonably deal with measurement uncertainty involved in environment perception. In addition, as stereo vision is unreliable for building map, an effective combination approach is proposed for fusing local stereo data derived map and laser range data derive map together. Finally, a reliable 3D spatial model is built using textures extracted from images. The effectiveness of our proposal is validated by real experimental results carried on Pioneer robot. © 2011 IEEE.

关键词:

3D modeling Mobile robots Range finders Stereo image processing Stereo vision Textures Uncertainty analysis

作者机构:

  • [ 1 ] [Jia, Songmin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Cui, Wei]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 ] [Shen, Hongmin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 5 ] [Sheng, Jinbo]Hitachi, Ltd., Tokyo, Japan

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来源 :

年份: 2011

页码: 1774-1779

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 5

ESI高被引论文在榜: 0 展开所有

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