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An effective algorithm for generation of crater gray image

  • Beihang University
  • Beijing Institute of Electro-Machining

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Crater-based visual navigation method is a promising and precise method for future planetary landing missions. To develop and test the crater-based visual navigation algorithms, in this paper, we present an original and effective algorithm for generating the synthetic crater gray image. The presented crater gray image simulation algorithm is flexible and relies on the basic camera pinhole model and the Lambertian reflection model. First, the 3D terrain model of the planetary surface containing craters is established. Second, the intensity of each pixel in the image plane of the simulated camera, whose attitude and position are set in advance, is calculated by analyzing the intersections of the 3D terrain model with the optical line passing through the optical center and the given pixel. The experimental results demonstrate that the proposed algorithm is effective in simulating the crater gray image for developing and validating the algorithms of detecting craters and estimating the position and orientation of the spacecraft landing on the planetary surface.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960910
DOIs
StatePublished - 14 Jul 2015
Event2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015 - Shenzhen, China
Duration: 12 Jun 201514 Jun 2015

Publication series

Name2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015

Conference

Conference2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
Country/TerritoryChina
CityShenzhen
Period12/06/1514/06/15

Keywords

  • Crater Detection
  • Crater gray Image
  • Crater-based Navigation
  • Synthetic Craters
  • Visual Navigation

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