Cited by 1Advanced Vision and ImagingImage Processing Techniques and ApplicationsRobot Manipulation and Learning

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Investigation on Rock Segmentation and 3D Surface Evaluation Based on Binocular Vision

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Shenyang Ligong University, Gao, Hongwei, Niu, Ben, Chinese Academy of Sciences, Li, Bin, Shenyang Ligong University, Yu, Yang, Shenyang Ligong University·2010·International Journal of Intelligent Engineering and Systems

Abstract

Planetary exploration is the embodiment of a nation's synthesis science and technology power.The first step is to land a rover to explore the unknown world.The science task always begins from rock and soil.Rock sample and return is one of the important tasks of planetary exploration, which should be accomplished by the rover's hardware and software.A series of algorithms related to main science exploring object-rock are investigated in this paper, such as a single rock's segmentation, shadow elimination, stereo matching and 3D reconstruction.C-means clustering and 3D surface evaluation realized by surrounding binocular vision are described.On the basis of the above algorithms, a virtual mechanism is developed by VC++ and OpenGL.The evaluated information for localization is transformed to the arm and leads the arm to locate the relative plane on the rock and shows the grinding process.The experiments and simulation results based on real image show the validity of these algorithms.

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Research works printed but not linked: 8

  1. R. Castano, M. Judd, T. Estlin, etal, "Onborad Au- tonomous Rover Science", In: Proc. IEEE Aerospace Conference, Big Sky, Montana: Pasadena, CA, pp.1- 13, 2007.
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Metadata

Authors
Shenyang Ligong University, Gao, H., Niu, B., Chinese Academy of Sciences, Li, B., Shenyang Ligong University, Yu, Y., & Shenyang Ligong University
Affiliations
  • Shenyang Ligong University (CN)
  • Shenzhen University (CN)
Venue
International Journal of Intelligent Engineering and Systems
Published
2010-09-30
Volume
3
Issue
3
Pages
1-9
ISSN
  • 1882-708X (ISSN-L)
  • 2185-3118
OpenAlex
W2519400063
Cited by
1
References
0
Citations by year
2022: 1
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
International journal of intelligent engineering and systems (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
  • Physical Sciences › Engineering › Media Technology › Image Processing Techniques and Applications
  • Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
Keywords
binocular vision, stereo matching, 3D reconstruction, shadow removal, C-means clustering, planetary rovers, rock sampling, grinding simulation

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