Paper
10 October 1994 Triangular mesh model for natural terrain
Reda Ezzat Fayek, Andrew K. C. Wong
Author Affiliations +
Abstract
Planetary exploration is a new challenge in the field of space robotics. Most of the topographic information available today about planetary surfaces was gathered either by orbiters or stationary landers. The use of an autonomous rover capable of building detailed maps of unstructured natural terrains would be more relevant, in the long term, for such space exploration missions. This paper presents a natural terrain model to represent and analyze the information gathered by an exploration rover using 3D computer vision. Irregular triangular meshes are suitable for the representation of amorphous natural terrain and could easily adapt to its irregular nature. The triangular terrain model presented captures both the range and the intensity information of the planetary scenes, enabling the modeling of topographic features at different resolution levels and the construction of conceptual topologic maps. In this paper, we first provide a compact representation for the rugged terrain scenes, and then use the resulting topographic maps to assist visual navigation of an autonomous exploration rover. The symbolic topologic maps can be used for the strategic planning of the exploration mission and reasoning about its various alternatives.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Reda Ezzat Fayek and Andrew K. C. Wong "Triangular mesh model for natural terrain", Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); https://doi.org/10.1117/12.188882
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Cited by 4 scholarly publications.
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KEYWORDS
Visual process modeling

3D modeling

Associative arrays

Feature extraction

Visualization

3D vision

Navigation systems

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