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Proceedings Paper

A method for integrating vision and laser range measurements in autonomous ground robotic vehicles
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Paper Abstract

This paper presents a method to integrate non-stereoscopic vision information with laser distance measurements for Autonomous Ground Robotic Vehicles (AGRV). The method assumes a horizontally-mounted Laser Measurement System (LMS) sweeping 180 degrees in front from right to left every one second, and a video camera mounted five feet high pointing to the front and down at 45 degrees to the horizontal. The LMS gives highly accurate obstacle position measurements in a two-dimensional plane whereas the vision system gives limited and not-so-accurate information on obstacle positions in three dimensions. The vision system can also see contrasts between ground markings. Many AGRVs have similar sensors in similar arrangements. The method presented here is general enough for many types of distance measurements and cameras and lenses. Since the data from these two sensors are in radically different formats, AGRVs need a scheme to combine this data into a common format so that the data can be compared and correlated. Having a successful integration method allows the AGRV to make smart path-finding navigation decisions. Integrating these two sensors is one of the challenges for AGRVs that use this approach. The method presented in this paper employs a geometrical approach to combine the two data sets in real time. Tests, accomplished in simulation as well as on an actual AGRV, show excellent results.

Paper Details

Date Published: 25 October 2004
PDF: 9 pages
Proc. SPIE 5608, Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision, (25 October 2004); doi: 10.1117/12.579722
Show Author Affiliations
Robert N. Riggins, Bluefield State College (United States)
Bruce V. Mutter, Bluefield State College (United States)


Published in SPIE Proceedings Vol. 5608:
Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Roning, Editor(s)

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