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Mapping with Monocular Vision in Two Dimensions

Mapping with Monocular Vision in Two Dimensions

Nicolau Leal Werneck, Anna Helena Reali Costa
Copyright: © 2010 |Volume: 1 |Issue: 4 |Pages: 10
ISSN: 1947-928X|EISSN: 1947-9298|EISBN13: 9781613502969|DOI: 10.4018/jncr.2010100106
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MLA

Werneck, Nicolau Leal, and Anna Helena Reali Costa. "Mapping with Monocular Vision in Two Dimensions." IJNCR vol.1, no.4 2010: pp.56-65. http://doi.org/10.4018/jncr.2010100106

APA

Werneck, N. L. & Costa, A. H. (2010). Mapping with Monocular Vision in Two Dimensions. International Journal of Natural Computing Research (IJNCR), 1(4), 56-65. http://doi.org/10.4018/jncr.2010100106

Chicago

Werneck, Nicolau Leal, and Anna Helena Reali Costa. "Mapping with Monocular Vision in Two Dimensions," International Journal of Natural Computing Research (IJNCR) 1, no.4: 56-65. http://doi.org/10.4018/jncr.2010100106

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Abstract

This article presents the problem of building bi-dimensional maps of environments when the sensor available is a camera used to detect edges crossing a single line of pixels and motion is restricted to a straight line along the optical axis. The position over time must be provided or assumed. Mapping algorithms for these conditions can be built with the landmark parameters estimated from sets of matched detection from multiple images. This article shows how maps that are correctly up to scale can be built without knowledge of the camera intrinsic parameters or speed during uniform motion, and how performing an inverse parameterization of the image coordinates turns the mapping problem into the fitting of line segments to a group of points. The resulting technique is a simplified form of visual SLAM that can be better suited for applications such as obstacle detection in mobile robots.

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